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  1. University of Information Technology
  2. International Conference on Advanced Information Technologies

Sentiment Aware Word Embedding Approach for Sentiment Analysis

http://hdl.handle.net/20.500.12678/0000006332
http://hdl.handle.net/20.500.12678/0000006332
6cfb028b-2fba-4d77-8f0b-7cd4d255b57b
7b3789d7-60d1-451a-91be-50839bca8a24
None
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Sentiment Sentiment Aware Word Embedding Approach for Sentiment Analysis.pdf (1.7 Mb)
© 2018 ICAIT
Publication type
Conference paper
Upload type
Publication
Title
Title Sentiment Aware Word Embedding Approach for Sentiment Analysis
Language en
Publication date 2018-11-02
Authors
Win Lei Kay Khine
Nyein Thwet Thwet Aung
Description
Nowadays, many business owners want to know the feedback of their products. If they get the feedback from customers, they can promote the quality of their products. So, Sentiment analysis has become a popular research problem to tackle in NLP field. It is the process of identifying whether the opinion or reviews expressed in a piece of work is positive, negative or neutral. We can apply sentiment analysis in brand monitoring, customer service, market research and analysis. Word embedding step is a problem in sentiment analysis of neural network models. Most existing algorithms for continuous word representation typically only model the syntactic context of words but ignore the sentiment of text. It is a problematic for sentiment analysis as they usually map words with similar syntactic context but ignore opposite sentiment polarity, such as good and bad, like and dislike. We solve this issue by proposing a method, sentiment-aware word embedding (SAWE). SAWE encodes sentiment information in the continuous representation of words by using (1) prediction the model and (2) ranking model. Finally, we evaluate our proposed method on IMDB movie review and twitter datasets, after that we prove our method outperform than other word embedding methods like word2vec and GloVe.
Keywords
Sentiment analysis, Natural Language Processing, Word Embedding, SAWE, Recurrent Neural Networks
Conference papers
ICAIT-2018
1-2 November, 2018
2nd International Conference on Advanced Information Technologies
Yangon, Myanmar
Natural Language Processing
https://www.uit.edu.mm/icait-2018/
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