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Adapted Sentiment Similarity Seed Words For French Tweets' Polarity Classification
Amal Htait
Computer Science Research Group
Aston Institute for Forensic Linguistics
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Working paper
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Dive into the research topics of 'Adapted Sentiment Similarity Seed Words For French Tweets' Polarity Classification'. Together they form a unique fingerprint.
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Keyphrases
Tweets
100%
Seed Words
100%
Sentiment Similarity
100%
Polarity Classification
100%
Langue
50%
French Language
33%
Public Transport
33%
F1-measure
33%
Mesure
16%
Annotated Dataset
16%
Modle
16%
Word Embedding
16%
Word2vec
16%
Supervised Systems
16%
Cosine Measure
16%
Word Embedding Representation
16%
Arts and Humanities
Similarities
100%
Sentiment
100%
French (Language)
40%
Corpus
20%
Neutral
20%
Global
20%
Social Sciences
French
100%
Public Transport
100%
French Language
50%
Word Embedding
50%
Computer Science
Word Embedding
100%
Polarity Classification
100%
Mathematics
Word Embedding
100%
Cosine
50%