A tweets classifier based on cosine similarity

Carolina Focil-Arias; Jorge Ziiniga; Grigori Sidorov; Ildar Batyrshin; Alexander Gelbukh

A tweets classifier based on cosine similarity

Carolina Focil-Arias, Jorge Ziiniga, Grigori Sidorov, Ildar Batyrshin, Alexander Gelbukh

Centro de Investigación en Computación (CIC)

Research output: Contribution to journal › Conference article › peer-review

Abstract

The 2017 Microblog Cultural Contextualization task consists in three challenges: (1) Content Analysis, (2) Microblog search, and (3) TimeLine illustration. This paper describes the use of cosine similarity, which is characterized by the comparison of similarity between two vectors of an inner product space. This research used two approaches: (1) word2vec and (2) Bag-of-Words (BoW) for extracting all relevant tweets to each event related to the four festivals: Charrues, Transmusicales, Avignon and Edinburgh.

Original language	English
Journal	CEUR Workshop Proceedings
Volume	1866
State	Published - 2017
Event	18th Working Notes of CLEF Conference and Labs of the Evaluation Forum, CLEF 2017 - Dublin, Ireland Duration: 11 Sep 2017 → 14 Sep 2017

Keywords

Bag-of-Words
Cosine similarity
Information retrieval
Natural language processing
Opinion mining
Word2vec

Cite this

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title = "A tweets classifier based on cosine similarity",

abstract = "The 2017 Microblog Cultural Contextualization task consists in three challenges: (1) Content Analysis, (2) Microblog search, and (3) TimeLine illustration. This paper describes the use of cosine similarity, which is characterized by the comparison of similarity between two vectors of an inner product space. This research used two approaches: (1) word2vec and (2) Bag-of-Words (BoW) for extracting all relevant tweets to each event related to the four festivals: Charrues, Transmusicales, Avignon and Edinburgh.",

keywords = "Bag-of-Words, Cosine similarity, Information retrieval, Natural language processing, Opinion mining, Word2vec",

author = "Carolina Focil-Arias and Jorge Ziiniga and Grigori Sidorov and Ildar Batyrshin and Alexander Gelbukh",

year = "2017",

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volume = "1866",

journal = "CEUR Workshop Proceedings",

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T1 - A tweets classifier based on cosine similarity

AU - Focil-Arias, Carolina

AU - Ziiniga, Jorge

AU - Sidorov, Grigori

AU - Batyrshin, Ildar

AU - Gelbukh, Alexander

PY - 2017

Y1 - 2017

N2 - The 2017 Microblog Cultural Contextualization task consists in three challenges: (1) Content Analysis, (2) Microblog search, and (3) TimeLine illustration. This paper describes the use of cosine similarity, which is characterized by the comparison of similarity between two vectors of an inner product space. This research used two approaches: (1) word2vec and (2) Bag-of-Words (BoW) for extracting all relevant tweets to each event related to the four festivals: Charrues, Transmusicales, Avignon and Edinburgh.

AB - The 2017 Microblog Cultural Contextualization task consists in three challenges: (1) Content Analysis, (2) Microblog search, and (3) TimeLine illustration. This paper describes the use of cosine similarity, which is characterized by the comparison of similarity between two vectors of an inner product space. This research used two approaches: (1) word2vec and (2) Bag-of-Words (BoW) for extracting all relevant tweets to each event related to the four festivals: Charrues, Transmusicales, Avignon and Edinburgh.

KW - Bag-of-Words

KW - Cosine similarity

KW - Information retrieval

KW - Natural language processing

KW - Opinion mining

KW - Word2vec

UR - http://www.scopus.com/inward/record.url?scp=85034753114&partnerID=8YFLogxK

M3 - Artículo de la conferencia

AN - SCOPUS:85034753114

SN - 1613-0073

VL - 1866

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 18th Working Notes of CLEF Conference and Labs of the Evaluation Forum, CLEF 2017

Y2 - 11 September 2017 through 14 September 2017

ER -

A tweets classifier based on cosine similarity

Abstract

Keywords

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