Development of email classifier in Brazilian Portuguese using feature selection for automatic response | Paper Citation Record

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Reference 1

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Reference 7

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Reference 8

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This paper cites Email is quickly received, and it can be sent asynchronousl y at low cost.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Email is quickly received, and it can be sent asynchronousl y at low cost

Reference 9

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This paper cites The latter two will be further detailed in Section 2.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response The latter two will be further detailed in Section 2

Reference 10

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This paper cites bag of words.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response bag of words

Reference 11

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Reference 12

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Development of email classifier in Brazilian Portuguese using feature selection for automatic response Unresolved cited work

Reference 13

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Reference 14

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Reference 15

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This paper cites Spam and Ham.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Spam and Ham

Reference 16

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This paper cites That was accomplished in association with Fundação Estudar a non -profit organization in education that provided us with their email logs.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response That was accomplished in association with Fundação Estudar a non -profit organization in education that provided us with their email logs

Reference 17

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This paper cites Revised Naive Bayes Classifier for Combating the Focus Attack in Spam Filtering.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Revised Naive Bayes Classifier for Combating the Focus Attack in Spam Filtering

Reference 18

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This paper cites An Optimized k-NN Classifier based on Minimum Spanning Tree for Email Filtering.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response An Optimized k-NN Classifier based on Minimum Spanning Tree for Email Filtering

Reference 19

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This paper cites System And Method For Message Process And Response.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response System And Method For Message Process And Response

Reference 20

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Reference 21

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This paper cites System a nd Method for Content - Sensitive Automatic Reply Message Generation for Text -Based Asynchronous Communications.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response System a nd Method for Content - Sensitive Automatic Reply Message Generation for Text -Based Asynchronous Communications

Reference 22

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Development of email classifier in Brazilian Portuguese using feature selection for automatic response Unresolved cited work

Reference 23

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This paper cites Transductive Inference for Text Classification Using Support Vector Machines.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Transductive Inference for Text Classification Using Support Vector Machines

Reference 24

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This paper cites Speech Acts.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Speech Acts

Reference 25

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This paper cites Towards Designing an Email Classification System Using Multi -view Based Semi -Supervised Learning.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Towards Designing an Email Classification System Using Multi -view Based Semi -Supervised Learning

Reference 26

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This paper cites Email Classification with Co -Training.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Email Classification with Co -Training

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.413188Z

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This paper cites A comparative study for email classification.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response A comparative study for email classification

Reference 28

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This paper cites The Enron corpus: A new dataset for Email Classification Research.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response The Enron corpus: A new dataset for Email Classification Research

Reference 29

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This paper cites Baselines and bigrams: Simple, good sentiment and topic classification.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Baselines and bigrams: Simple, good sentiment and topic classification

Reference 30

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This paper cites A Comparative Study on Different Types of Approaches to Text Categorization.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response A Comparative Study on Different Types of Approaches to Text Categorization

Reference 31

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This paper cites Classificação Automática de Emails.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Classificação Automática de Emails

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.407605Z

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This paper cites IBM’s Watson Now A Customer Service Agent.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response IBM’s Watson Now A Customer Service Agent

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.416441Z

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This paper cites Reinforced Multicategory Support Vector Machines.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Reinforced Multicategory Support Vector Machines

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.384260Z

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Observation 97d4adf7-0849-422d-a96b-eabf2508a09b · outbound

This paper cites Joachims, Learning to Classify Text Using Support Vector Machines.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Joachims, Learning to Classify Text Using Support Vector Machines

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.450551Z

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Observation c7dcb8f5-a551-4588-a62c-4d02ec5a3b7b · outbound

This paper cites Towards an Adaptive Mail Classifier.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Towards an Adaptive Mail Classifier

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.530108Z

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This paper cites Classifying spam emails using text and readability features.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Classifying spam emails using text and readability features

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.436798Z

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This paper cites An empirical performance comparison of machine learning methods for spam e -mail categorization.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response An empirical performance comparison of machine learning methods for spam e -mail categorization

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.506005Z

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This paper cites An approach to spam detec tion by Naive Bayes ensemble based on decision induction.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response An approach to spam detec tion by Naive Bayes ensemble based on decision induction

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.427061Z

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This paper cites Learning to Filter Spam E -Mail: A Comparison of a Naive Bayesian and a Memory -Based Approach.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Learning to Filter Spam E -Mail: A Comparison of a Naive Bayesian and a Memory -Based Approach

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.460167Z

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This paper cites Support -vector networks.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Support -vector networks

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.473207Z

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This paper cites A Practical Guide to Support Vector Classification.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response A Practical Guide to Support Vector Classification

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.460129Z

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This paper cites A Training Algorithm for Optimal Margin Classifiers.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response A Training Algorithm for Optimal Margin Classifiers

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.441542Z

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Observation 9a59578d-dd78-4b43-a140-ef79917d2efd · outbound

This paper cites Joachims, Learning to Classify Text Using Support Vector Machines.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Joachims, Learning to Classify Text Using Support Vector Machines

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.470843Z

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Observation 810e21fe-d2da-40ef-be32-3a364dd49b55 · outbound

This paper cites Automatic Opinion Polarity Classification of Movie.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Automatic Opinion Polarity Classification of Movie

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.476595Z

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Observation 13d72f74-633e-4971-adf8-70837cbf733d · outbound

This paper cites Natural language processing in support of decision -making: Phrases and part -of-speech tagging.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Natural language processing in support of decision -making: Phrases and part -of-speech tagging

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.438088Z

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Observation 833f5650-8349-4232-897d-8bda883916ef · outbound

This paper cites Automatic Induction of Rules for e -mail Classification.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Automatic Induction of Rules for e -mail Classification

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.486434Z

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Observation f8ca77c4-0915-4007-b92f-40986721fa37 · outbound

This paper cites The Case Against Accuracy Estimation for Comparing Induction Algorithms.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response The Case Against Accuracy Estimation for Comparing Induction Algorithms

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.483528Z

Source-reported events for the cited work

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Observation 7fcc1319-e059-4dc5-9dcb-2490944ca1af · outbound

This paper cites Enhanced email spam filtering through combining similarity graphs.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Enhanced email spam filtering through combining similarity graphs

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.463977Z

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Observation 88e6f0dd-4597-40bd-93c7-891bf1c97aec · outbound

This paper cites A Semi -Supervised Bayesian Network Model for Microblog Topic Classification.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response A Semi -Supervised Bayesian Network Model for Microblog Topic Classification

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.492580Z

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Observation 6d20aa6a-7755-4df2-82be-b063b842d15f · outbound

This paper cites Utiliza ção De Redes Neurais Artificiais Para Classificação De Spam.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Utiliza ção De Redes Neurais Artificiais Para Classificação De Spam

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.480459Z

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Observation c96a7a9c-5e87-473e-993b-c8d8305ad90b · outbound

This paper cites Detecção De Mensagens Não Solicitadas Utilizando Mineração De Textos.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Detecção De Mensagens Não Solicitadas Utilizando Mineração De Textos

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.489117Z

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Observation 298c20a9-6092-440a-8fcb-d45fd7895091 · outbound

This paper cites Min eração de opinião em textos opinativos utilizando algoritmos de classiﬁcação.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Min eração de opinião em textos opinativos utilizando algoritmos de classiﬁcação

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.431434Z

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Observation 1bb242f6-824c-461f-9384-840d3e890022 · outbound

This paper cites Twitter Sentiment Analysis : The Good the Bad and the OMG !.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Twitter Sentiment Analysis : The Good the Bad and the OMG !

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.484285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation efd0762d-01dd-4bca-ac89-785077492b0b · outbound

This paper cites Precise tweet classification and sentiment analysis.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Precise tweet classification and sentiment analysis

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.519813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e24112f8-8973-4730-979d-ae63437e3417 · outbound

This paper cites Thumbs up?: sentiment classification using machine learning techniques.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Thumbs up?: sentiment classification using machine learning techniques

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.428013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e60a4270-d5d1-41fa-9636-e96e9681af1e · outbound

This paper cites Second HAREM : Advancing the State of the Art of Named Entity Recognition in Portuguese.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Second HAREM : Advancing the State of the Art of Named Entity Recognition in Portuguese

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.516679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0d838952-bd87-47c6-a659-637757701bc4 · outbound

This paper cites CHAVE : topics and questions on the Portuguese participation in CLEF.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response CHAVE : topics and questions on the Portuguese participation in CLEF

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.510210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0fa6dee0-893b-476e-a9d9-9a8f25a21655 · outbound

This paper cites Stemming para a língua portuguesa: estudo, análise e melhoria do algoritmo RSLP.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Stemming para a língua portuguesa: estudo, análise e melhoria do algoritmo RSLP

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.498526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bc7158d2-d453-4534-a283-8864ea59b6af · outbound

This paper cites Mac -Morpho Revisited: Towards Robust Part -of- Speech Tagging.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Mac -Morpho Revisited: Towards Robust Part -of- Speech Tagging

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.499066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 56c4c8ec-2a31-4000-8163-4a5a4874ae03 · outbound

This paper cites Spam filtering with Naive Bayes -Which naive bayes?.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response Spam filtering with Naive Bayes -Which naive bayes?

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.526723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e07f7b60-3dd2-4935-9800-6eaa572429db · outbound

This paper cites The Form is the Substance: Classification of Genres in Text.

Development of email classifier in Brazilian Portuguese using feature selection for automatic response The Form is the Substance: Classification of Genres in Text

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:26:32.495230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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