A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering | Paper Citation Record

Observation aa31c947-cdad-4654-8014-36b71ac7875c · outbound

This paper cites Emotion knowledge: further exploration of a prototype approach.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Emotion knowledge: further exploration of a prototype approach

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:49.200511Z

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Observation c229cbe5-5eb1-4f52-a1da-ca687663e2c3 · outbound

This paper cites The influence of sad mood on cognition.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering The influence of sad mood on cognition

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:49.090962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9add5bf3-3276-4994-9563-6a3721f20ec9 · outbound

This paper cites Different and similar percep- tions of communication among software developers,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Different and similar percep- tions of communication among software developers,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:48.978940Z

Source-reported events for the cited work

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Observation 6a2fcb8a-955e-4870-8651-d18bb2136473 · outbound

This paper cites Happy software devel- opers solve problems better: psychological measurements in empirical software engineering,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Happy software devel- opers solve problems better: psychological measurements in empirical software engineering,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:48.869836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ed1b04b9-8863-4dba-aaf2-e619d0cbdfd9 · outbound

This paper cites Automating developer chat mining,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Automating developer chat mining,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:48.779483Z

Source-reported events for the cited work

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Observation 62901a99-e8df-4234-a5a1-096e9364b544 · outbound

This paper cites An empirical study of developer discussions in the gitter platform,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering An empirical study of developer discussions in the gitter platform,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:48.644696Z

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Observation 76655256-fd50-4b14-9faf-2c8f17771db5 · outbound

This paper cites Modeling communication perception in development teams using monte carlo methods,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Modeling communication perception in development teams using monte carlo methods,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:48.554636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f601febc-a268-45b5-bf94-7f57db4de898 · outbound

This paper cites From textual to verbal communication: Towards applying sentiment analysis to a software project meeting,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering From textual to verbal communication: Towards applying sentiment analysis to a software project meeting,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:48.437640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 910cfc45-2fdb-4cb3-9cc7-ea132dc269c3 · outbound

This paper cites Automatic classification of statements in meetings of development teams,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Automatic classification of statements in meetings of development teams,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:48.350743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cd4f00d9-a034-4d14-b9b0-628a8600afc7 · outbound

This paper cites Characterising developer sentiment in software components: An exploratory study of gentoo,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Characterising developer sentiment in software components: An exploratory study of gentoo,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:48.226538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation efbb0d1e-49ba-40d7-ba54-dd1a686ff129 · outbound

This paper cites Analyzing the developer’s sentiment in software components: A decade-long study of the apache project,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Analyzing the developer’s sentiment in software components: A decade-long study of the apache project,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:48.146815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 77eb8491-f0ed-430b-83ec-5d5cafc0e494 · outbound

This paper cites Estimating trust in virtual teams - a framework based on sentiment analysis,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Estimating trust in virtual teams - a framework based on sentiment analysis,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:48.010925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fc4a69fc-3293-411e-a605-490bb89e48a8 · outbound

This paper cites ”how was your weekend?.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering ”how was your weekend?

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:47.829789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 068ceeb4-067a-486b-9fb7-ff9547162315 · outbound

This paper cites Do users’ explainability needs in software change with mood?.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Do users’ explainability needs in software change with mood?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:35.864951Z

Source-reported events for the cited work

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Observation b755d4e7-127e-4097-8680-a05c7f553966 · outbound

This paper cites Sentiment analysis of github commit comments using machine learning techniques,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Sentiment analysis of github commit comments using machine learning techniques,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:47.603439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 48553b44-e3fb-4346-91d5-b544ad432bfc · outbound

This paper cites Sentiment analysis for software engineering: How far can we go?.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Sentiment analysis for software engineering: How far can we go?

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:47.413476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9c738131-1ec2-4720-9cb7-d557717b6bcc · outbound

This paper cites Revisiting sentiment analysis for software engineering in the era of large language models,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Revisiting sentiment analysis for software engineering in the era of large language models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:47.157095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7929d343-1f11-492d-9b9f-866d62354049 · outbound

This paper cites Senti-analyzer: Joint sen- timent analysis for text-based and verbal communication in software projects,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Senti-analyzer: Joint sen- timent analysis for text-based and verbal communication in software projects,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:46.865323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c663368a-b95d-43ed-b8b8-bbeb439e4db1 · outbound

This paper cites Dataset: On the Subjectivity of Emotions in Software Projects: How Reliable are Pre-Labeled Data Sets for Sentiment Analysis?.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Dataset: On the Subjectivity of Emotions in Software Projects: How Reliable are Pre-Labeled Data Sets for Sentiment Analysis?

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:46.634035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation da5879ef-d696-4dfb-a4fc-b4d9da5c7d3b · outbound

This paper cites Sentistrength-se: Exploiting domain specificity for improved sentiment analysis in software engineering text,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Sentistrength-se: Exploiting domain specificity for improved sentiment analysis in software engineering text,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:46.384316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 77dd893b-2516-43aa-b0d8-6e0993c87a6b · outbound

This paper cites On the sub- jectivity of emotions in software projects: How reliable are pre-labeled data sets for sentiment analysis?.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering On the sub- jectivity of emotions in software projects: How reliable are pre-labeled data sets for sentiment analysis?

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:46.167896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6c374bda-6d1c-413d-a0fb-e53dba714d24 · outbound

This paper cites Sentiment polarity detection for software development,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Sentiment polarity detection for software development,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:45.905914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0bc68c87-9647-4a32-b9b2-1b4c0e2acbcc · outbound

This paper cites Development and application of sentiment analysis tools in software engineering: A systematic literature review,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Development and application of sentiment analysis tools in software engineering: A systematic literature review,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:45.730898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b82aaa05-2acf-4d88-914c-5ae27b284ee9 · outbound

This paper cites Sentiment analysis tools in software engineering: A systematic mapping study,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Sentiment analysis tools in software engineering: A systematic mapping study,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:36.840120Z

Source-reported events for the cited work

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Observation e652c667-1e73-47de-9593-fe33e535b512 · outbound

This paper cites A Twitter corpus and benchmark resources for German sentiment analysis,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering A Twitter corpus and benchmark resources for German sentiment analysis,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:45.619284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 67ef1780-19f3-4695-8c73-277e5c7b3244 · outbound

This paper cites Fine-grained german sentiment analysis on social media,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Fine-grained german sentiment analysis on social media,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:45.531261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6480d469-77b5-411a-a875-3271144da2ec · outbound

This paper cites Towards trust- worthy sentiment analysis in software engineering: Dataset characteris- tics and tool selection,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Towards trust- worthy sentiment analysis in software engineering: Dataset characteris- tics and tool selection,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:45.401762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5740e701-9360-4aca-a17e-3185d2a59358 · outbound

This paper cites On the limitations of combining sentiment analysis tools in a cross-platform setting,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering On the limitations of combining sentiment analysis tools in a cross-platform setting,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:45.303072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 68044f13-9257-41e1-ae61-26efae6aa889 · outbound

This paper cites Can we use se-specific sentiment analysis tools in a cross-platform setting?.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Can we use se-specific sentiment analysis tools in a cross-platform setting?

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:45.162504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 80749fef-ecd4-4c06-b36d-997241bde8e2 · outbound

This paper cites On the potentials of realtime sentiment analysis on text-based communication in software projects,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering On the potentials of realtime sentiment analysis on text-based communication in software projects,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:45.087544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fdc3995a-0671-4905-b2a6-fb8998528fc4 · outbound

This paper cites Automating explanation need management in app reviews: A case study from the navigation app industry,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Automating explanation need management in app reviews: A case study from the navigation app industry,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:37.451571Z

Source-reported events for the cited work

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Observation 9d6e70e0-692e-4768-b73c-017f52994e6a · outbound

This paper cites From app features to explanation needs: Analyzing correlations and predictive potential,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering From app features to explanation needs: Analyzing correlations and predictive potential,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:44.911246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c7ad5c7d-9c80-46da-b3af-c493d0f5490d · outbound

This paper cites How does users’ app knowledge influence the preferred level of detail and format of software explanations?.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering How does users’ app knowledge influence the preferred level of detail and format of software explanations?

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:37.667305Z

Source-reported events for the cited work

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Observation 23ec2f9c-9110-4f78-af7c-4d272d0e8523 · outbound

This paper cites A study on the men- tal models of users concerning existing software,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering A study on the men- tal models of users concerning existing software,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:44.788337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation eb06f824-783d-40ff-9205-3c87295f3a47 · outbound

This paper cites What can be concluded from user feedback? - an empirical study,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering What can be concluded from user feedback? - an empirical study,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:44.692312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3ed48319-9a82-4e60-ab63-f82a54bdd5bd · outbound

This paper cites How to elicit explainability requirements? a com- parison of interviews, focus groups, and surveys,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering How to elicit explainability requirements? a com- parison of interviews, focus groups, and surveys,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:44.572571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 556a5f62-ad5b-4929-8f63-cbc99bf2ba57 · outbound

This paper cites How do users like this feature? a fine grained sentiment analysis of app reviews,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering How do users like this feature? a fine grained sentiment analysis of app reviews,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:44.445068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e4aa5a67-1b5c-46a7-b489-348f404b1ca9 · outbound

This paper cites Ulich and P.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Ulich and P

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:44.335642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a4b8136d-87da-4fa9-b45b-2766d5f7975e · outbound

This paper cites Core affect and the psychological construction of emotion.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Core affect and the psychological construction of emotion

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:44.219301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 036dec1a-6cc7-4ef9-81b5-b38eb73e87cb · outbound

This paper cites Mehrabian and J.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Mehrabian and J

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:44.071607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 07969294-0b74-49d9-a008-a7d9f62d3c6b · outbound

This paper cites an unresolved cited work.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:49:43.833437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ee0d8c34-0493-49fe-8d9b-5eeca4ccf0af · outbound

This paper cites Basic emotions, relations among emotions, and emotion- cognition relations,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Basic emotions, relations among emotions, and emotion- cognition relations,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:43.661693Z

Source-reported events for the cited work

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Observation 558aff23-a98d-432c-8878-57b2ee078afb · outbound

This paper cites A psychoevolutionary theory of emotions,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering A psychoevolutionary theory of emotions,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:43.457878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ea1d24c0-eb5e-452a-9cd9-00021c8a9192 · outbound

This paper cites an unresolved cited work.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:49:43.300380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 24651721-90e6-4044-b784-22a848f090c3 · outbound

This paper cites The emotional side of software developers in jira,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering The emotional side of software developers in jira,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:43.113798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d69f2add-8869-4bbc-a92b-365072617b3b · outbound

This paper cites Evaluation datasets for twitter sentiment analysis: a survey and a new dataset, the sts-gold,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Evaluation datasets for twitter sentiment analysis: a survey and a new dataset, the sts-gold,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:42.920776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d9f1be61-bd29-4a7e-9bbc-05d8ed4bf13c · outbound

This paper cites Boland, A.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Boland, A

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:42.737891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 72b38a20-c963-45fe-ac0b-4befa8d9436a · outbound

This paper cites SCARE — the sentiment corpus of app reviews with fine-grained annotations in German,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering SCARE — the sentiment corpus of app reviews with fine-grained annotations in German,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:42.558688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4d4f9a73-fda9-40e4-82f2-5a21b85cf1ad · outbound

This paper cites Gervader-a german adaptation of the vader sentiment analysis tool for social media texts.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Gervader-a german adaptation of the vader sentiment analysis tool for social media texts

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:42.400392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7501c916-7d0c-41ea-a8b6-0fb5cf442943 · outbound

This paper cites A gold standard for emotion annotation in stack overflow,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering A gold standard for emotion annotation in stack overflow,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:42.263608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 88ac67ef-d832-49cd-a8af-60b3c23b42e2 · outbound

This paper cites Sentiment analysis for software engineering: How far can pre-trained transformer models go?.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Sentiment analysis for software engineering: How far can pre-trained transformer models go?

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:42.074322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 88583ca3-4bb3-4032-afbe-802f079e7de7 · outbound

This paper cites The measurement of observer agreement for categorical data.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering The measurement of observer agreement for categorical data

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:38.962763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fef8315c-02b0-4b6f-83bd-75c9ccf78e18 · outbound

This paper cites Dataset: A german gold-standard dataset for sentiment analysis in software engineering,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Dataset: A german gold-standard dataset for sentiment analysis in software engineering,

Reference 53

Resolution: verified exact; doi, observed 2026-08-06T18:49:40.184891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7b0a3ec8-0afd-401e-b8ee-83afc63d927a · outbound

This paper cites Training a broad-coverage german sentiment classification model for dialog sys- tems,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Training a broad-coverage german sentiment classification model for dialog sys- tems,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:41.880265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b0252412-1349-46a2-9f15-27b72d9a41d2 · outbound

This paper cites Sentiment strength detection in short informal text,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Sentiment strength detection in short informal text,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:41.708422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 01c1995e-de50-433c-817f-0f79986415f3 · outbound

This paper cites Deva: sensing emotions in the valence arousal space in software engineering text,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Deva: sensing emotions in the valence arousal space in software engineering text,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:41.537340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d82b6390-ace6-49e8-935d-638cd4b7f7fd · outbound

This paper cites SentiCR: A customized sentiment analysis tool for code review interactions,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering SentiCR: A customized sentiment analysis tool for code review interactions,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:41.389361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c7acce1d-2cb5-4536-9689-d273c25f1eb7 · outbound

This paper cites Sentiment and politeness analysis tools on developer discussions are unreliable, but so are people,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Sentiment and politeness analysis tools on developer discussions are unreliable, but so are people,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:41.149363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 22177c00-071a-4ab1-8fd3-1249d4abf27c · outbound

This paper cites Sentiment analysis for software engineering: How far can pre-trained transformer models go?.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Sentiment analysis for software engineering: How far can pre-trained transformer models go?

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:49:40.879968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 366e9d02-51ba-4788-bbf4-1aeb2f4c2449 · outbound

This paper cites A theory of learning from different domains,.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering A theory of learning from different domains,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:39.661400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b45a65c8-d9cb-4dbf-a315-44fc08afc162 · outbound

This paper cites Wohlin, P.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Wohlin, P

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:39.804243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b4f48b5-c47a-4241-b05a-a70defa93c18 · outbound

This paper cites Characterising Developer Sentiment in Software Components: An Exploratory Study of Gentoo.

A German Gold-Standard Dataset for Sentiment Analysis in Software Engineering Characterising Developer Sentiment in Software Components: An Exploratory Study of Gentoo

Reference 2024

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T18:49:40.528765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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