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2018 | OriginalPaper | Buchkapitel

Building Corpus with Emoticons for Sentiment Analysis

verfasst von : Changliang Li, Yongguan Wang, Changsong Li, Ji Qi, Pengyuan Liu

Erschienen in: Natural Language Processing and Chinese Computing

Verlag: Springer International Publishing

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Abstract

Corpus is an essential resource for data driven natural language processing systems, especially for sentiment analysis. In recent years, people increasingly use emoticons on social media to express their emotions, attitudes or preferences. We believe that emoticons are a non-negligible feature of sentiment analysis tasks. However, few existing works focused on sentiment analysis with emoticons. And there are few related corpora with emoticons. In this paper, we create a large scale Chinese Emoticon Sentiment Corpus of Movies (CESCM). Different to other corpora, there are a wide variety of emoticons in this corpus. In addition, we did some baseline sentiment analysis work on CESCM. Experimental results show that emoticons do play an important role in sentiment analysis. Our goal is to make the corpus widely available, and we believe that it will offer great support to sentiment analysis research and emoticon research.

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Vorheriges Kapitel A Comparable Study on Model Averaging, Ensembling and Reranking in NMT

Nächstes Kapitel Construction of a Multi-dimensional Vectorized Affective Lexicon

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Titel: Building Corpus with Emoticons for Sentiment Analysis
verfasst von: Changliang Li
Yongguan Wang
Changsong Li
Ji Qi
Pengyuan Liu
Verlag: Springer International Publishing
Buch: Natural Language Processing and Chinese Computing
Print ISBN: 978-3-319-99500-7

Electronic ISBN: 978-3-319-99501-4

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-99501-4_27

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