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A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks
Nastaran Babanejad
|
Ameeta Agrawal
|
Aijun An
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Manos Papagelis
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Paper Details:
Month: July
Year: 2020
Location: Online
Venue:
ACL |
Soial Media Activity
Citations
URL
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https://github.com/NastaranBa/
https://www.nltk.org/
https://pypi.org/project/pyspellchecker/
https://www.sketchengine.eu/ukwac-british-english-
https://pypi.org/project/negspacy/
https://www.kaggle.com/snapcrack/all-the-news
https://www.kaggle.com/jkkphys/english-wikipedia-
https://docs.microsoft.com/en-us/cognitive-
http://ai.stanford.edu/
http://alt.qcri.org/semeval2016/task4/index.php
https://www.kaggle.com/crowdflower/twitter-airline-
http://www.romanklinger.de/ssec/
https://github.com/rishabhmisra/News-Headlines-
https://nlds.soe.ucsc.edu/sarcasm2
https://nlp.cs.princeton.edu/SARC/0.0/
https://nlp.stanford.edu/projects/glove/
http://ir.hit.edu.cn/
https://github.com/facebookresearch/fastText
https://github.com/bfelbo/DeepMoji
https://www.dropbox.com/s/wr5ovupf7yl282x/ewe
Field Of Study
Linguistic Trends
Discourse
Embeddings
Task
Tagging
Semantic Similarity
Sentiment Analysis
Emotion Detection
Text Categorization
Biomedical
Social Science
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Data Analysis
Representation Learning
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English
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News
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Twitter