Paper Citation Record · LEDGER

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection

As of 23 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2507.02137.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.02137 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:41:53.665826Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:48:53.442557Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T18:48:54.665356Z

Reference resolution

51 of 51 outbound references displayed

verified exact3
verified fuzzy34
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8de5a5d3-9d94-4bf0-8182-22a7a12d45dc · outbound

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

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Development and application of sentiment analysis tools in software engineering: A systematic literature review,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:42:00.024233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 300bde71-18cc-47f5-aa1a-adf2cb2a9edd · outbound

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

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Sentiment analysis tools in software engineering: A systematic mapping study,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T20:41:48.030016Z

Source-reported events for the cited work

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Observation f9a3c339-ca15-44d6-ae90-a7c4d964d096 · outbound

This paper cites Opinion mining for software development: A systematic literature review,.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Opinion mining for software development: A systematic literature review,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:59.874435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 97e4678d-7f39-40b3-9092-a4b63401d3ca · outbound

This paper cites Dataset: Systematic mapping study on the development and application of sentiment analysis tools in software engineering,.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Dataset: Systematic mapping study on the development and application of sentiment analysis tools in software engineering,

Reference 4

Resolution: verified exact; doi, observed 2026-08-06T20:41:54.345847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 77e9a9f2-4e06-43f7-aa78-09f532b5d6a2 · outbound

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

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection A gold standard for emotion annotation in stack overflow,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:59.729463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2df1a782-3cb2-4f32-9883-aa837bdc1492 · outbound

This paper cites Sentiment polarity detection for software development,.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Sentiment polarity detection for software development,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:59.597544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 01c28702-578a-48e8-b489-a2060a4e77ec · outbound

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

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection From textual to verbal communication: Towards applying sentiment analysis to a software project meeting,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:59.441966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9132b1ab-21b4-4524-8fac-4f50519bc4cd · outbound

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

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Sentistrength-se: Exploiting domain specificity for improved sentiment analysis in software engineering text,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:59.316339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2392542f-4b0d-4793-a13c-f5940c5740ce · outbound

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

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Senticr: A customized sentiment analysis tool for code review interactions,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:59.213925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3e31f9ab-f557-462d-a08f-cd2ce75a0634 · outbound

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

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Automatic classification of statements in meetings of development teams,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T20:41:48.687860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 591a374c-ac9b-410e-aa6f-d1586e16e061 · outbound

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

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection A german gold-standard dataset for sentiment analysis in software engineering,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T20:41:48.772995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7897d19-da9c-4bc2-9c89-2f9d729b55f8 · outbound

This paper cites What is needed to apply sentiment analysis in real software projects: A feasibility study in industry,.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection What is needed to apply sentiment analysis in real software projects: A feasibility study in industry,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:59.064029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 96fae53b-95ae-4e9b-841b-3bccfef0da2c · outbound

This paper cites Towards understanding emotional response to requirements changes in agile teams,.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Towards understanding emotional response to requirements changes in agile teams,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:58.957184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 196764da-4871-490b-8a45-dfb96b955f19 · outbound

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

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Can we use se-specific sentiment analysis tools in a cross-platform setting?

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:58.852748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 27b16a6f-c0f2-4412-8d4c-6c408f634bf6 · outbound

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

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection On the lim- itations of combining sentiment analysis tools in a cross-platform setting,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T20:41:49.168985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce816402-bc4e-4bc3-adbc-54c781fd1df4 · outbound

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

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Sentiment analysis for software engineering: How far can pre-trained transformer models go?

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T20:41:49.306356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 226fa20f-2827-4362-aebc-6146b0df59be · outbound

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

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Sentiment analysis for software engineering: How far can we go?

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:58.760819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fb6e47fe-ada4-4250-bcd7-683c872e2be9 · outbound

This paper cites An empirical study of the effectiveness of an ensemble of stand-alone sentiment detection tools for software engineering datasets,.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection An empirical study of the effectiveness of an ensemble of stand-alone sentiment detection tools for software engineering datasets,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:58.688168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a3545bcf-51df-4651-8b65-6211fd2f31db · outbound

This paper cites Classifying emotions in stack overflow and jira using a multi-label approach,.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Classifying emotions in stack overflow and jira using a multi-label approach,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:58.577260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fa292008-c8d0-4e7e-8442-614d1762b35a · outbound

This paper cites Parallel worlds: Repeated initializations of the same team to improve team viability,.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Parallel worlds: Repeated initializations of the same team to improve team viability,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:58.478124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a7e1d4a2-9832-4c85-baaf-488b7706bd76 · outbound

This paper cites Mostafa and M.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Mostafa and M

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:58.374233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 00e21b76-8fbd-42b2-8ff4-6fd8929521df · outbound

This paper cites Automatic mining of opinions expressed about apis in stack overflow,.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Automatic mining of opinions expressed about apis in stack overflow,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:58.269041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation addf4233-099e-4e2b-97c4-21e937f85051 · outbound

This paper cites A gold standard for polarity of emotions of software developers in github,.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection A gold standard for polarity of emotions of software developers in github,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:58.047635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0b82133d-3b76-4d99-b046-b428fa56ba88 · outbound

This paper cites Entity-level sentiment analysis of issue comments,.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Entity-level sentiment analysis of issue comments,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:57.857761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation db2f0e06-eb96-4115-ad9f-6adde129e284 · outbound

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

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Sentiment and politeness analysis tools on developer discussions are unreliable, but so are people,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:57.627821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5b6978cb-3655-4815-9800-8886f7613779 · outbound

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

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection The emotional side of software developers in jira,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:57.378485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dbd551ee-f76f-4d0f-be21-75f2bf3c7f1b · outbound

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

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Deva: sensing emotions in the valence arousal space in software engineering text,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:57.106323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c4df7105-ce41-4abd-9b92-894dbe15e84e · outbound

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

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection On the sub- jectivity of emotions in software projects: How reliable are pre-labeled data sets for sentiment analysis?

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T20:41:50.518760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b257c02-ac12-422c-a7b8-f5d61f8a0dc9 · outbound

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

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection On the potentials of realtime sentiment analysis on text-based communication in software projects,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:56.857881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2e69fc4d-c4fd-48b9-b060-4a84a0af4709 · outbound

This paper cites Sentiment strength detec- tion for the social web,.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Sentiment strength detec- tion for the social web,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:56.665897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4dfd71d5-b4bc-4584-adf2-3151db08ec33 · outbound

This paper cites Achiev- ing reliable sentiment analysis in the software engineering domain using bert,.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Achiev- ing reliable sentiment analysis in the software engineering domain using bert,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:56.476294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 80807f0b-723f-4ec1-a053-2c9e3fbbeb44 · outbound

This paper cites Sentimoji: An emoji- powered learning approach for sentiment analysis in software engineer- ing,.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Sentimoji: An emoji- powered learning approach for sentiment analysis in software engineer- ing,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:56.306678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ea02f743-00cc-46d7-86f5-e21a7de83d43 · outbound

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

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Senti-analyzer: Joint sen- timent analysis for text-based and verbal communication in software projects,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T20:41:51.088340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 013739ac-5daf-4772-9fcc-517c7c4c64cb · outbound

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

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Revisiting sentiment analysis for software engineering in the era of large language models,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T20:41:51.225587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5a04972-295e-4094-ad65-fc6591742f3b · outbound

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

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Different and similar percep- tions of communication among software developers,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T20:41:51.378099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27f2cfb7-a53a-43df-bc0c-51cf3d50694c · outbound

This paper cites Modeling communica- tion perception in development teams using monte carlo methods,.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Modeling communica- tion perception in development teams using monte carlo methods,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:56.131109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2e97c88b-472c-473f-9e4f-75e992ad87e3 · outbound

This paper cites Dataset: Sentisurvey for sentiment analysis in software projects,.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Dataset: Sentisurvey for sentiment analysis in software projects,

Reference 37

Resolution: verified exact; doi, observed 2026-08-06T20:41:54.105212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fd7d95f4-16c9-46be-a067-c5049a3dcacd · outbound

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

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Do users’ explainability needs in software change with mood?

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T20:41:51.830252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 324ab35f-2fe9-4f3c-9b7f-495c178b3d8a · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T20:41:51.961154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13f88277-504b-4566-a7c9-6f7a7ac3a78b · outbound

This paper cites Efficient few-shot learning without prompts,.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Efficient few-shot learning without prompts,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:55.888919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9d6246a3-bfe8-4e98-aeed-92aa0f318571 · outbound

This paper cites Identifying the mood of a software development team by analyzing text-based communication in chats with machine learning,.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Identifying the mood of a software development team by analyzing text-based communication in chats with machine learning,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:55.705720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 783f59fb-f6fc-4744-8d30-4d5cab76e0b9 · outbound

This paper cites On the use of emoticons in open source software development,.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection On the use of emoticons in open source software development,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:55.460984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 057c1f8d-9b59-48da-9c2f-2a25dce90b69 · outbound

This paper cites Measuring nominal scale agreement among many raters.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Measuring nominal scale agreement among many raters

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:55.283434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3e8b80f1-0a6b-4874-a9a5-185b3572b9b8 · outbound

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

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection The measurement of observer agreement for categorical data

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T20:41:52.641753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3320255f-1cb6-4b3c-961f-eeaf1c48b8c3 · outbound

This paper cites Wohlin, P.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Wohlin, P

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T20:41:52.804996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bf78983-70c2-41cf-bc1a-935f741feaa5 · outbound

This paper cites Are bullies more produc- tive? empirical study of affectiveness vs. issue fixing time,.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Are bullies more produc- tive? empirical study of affectiveness vs. issue fixing time,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:55.080987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 993c4798-fe78-4f30-8e1e-6a8de62d11c3 · outbound

This paper cites Do developers feel emotions? an exploratory analysis of emotions in software artifacts,.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Do developers feel emotions? an exploratory analysis of emotions in software artifacts,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:54.924518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 92b3fb91-9aff-470d-8f33-998697148339 · outbound

This paper cites Exploiting the unique expression for improved sentiment analysis in software engineering text,.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Exploiting the unique expression for improved sentiment analysis in software engineering text,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:54.685995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2519b437-6b40-45c2-9cdd-ca6e2ed900a5 · outbound

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

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Emotion knowledge: Further exploration of a prototype approach,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:41:54.499919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dde9f366-6420-4221-aa4f-746f4ea64e8e · outbound

This paper cites an unresolved cited work.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Unresolved cited work

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T20:41:53.581853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee7f1dd3-1737-4869-8cd9-34a7b1843f38 · outbound

This paper cites Dataset: Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection,.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection Dataset: Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection,

Reference 51

Resolution: verified exact; doi, observed 2026-08-06T20:41:53.900176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 7a651310-75e5-4fb1-a4cc-f62c4d9e71b5 · inbound

Automatic Generation of Explainability Requirements and Software Explanations From User Reviews cites this paper.

Automatic Generation of Explainability Requirements and Software Explanations From User Reviews Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:48:54.737895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.