Results 231 to 240 of about 1,654 (258)
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Sentiment Classification of Movie Reviews Using Korean Sentiment Dictionary
Advanced Science and Technology Letters, 2014While there exists a large volume of research on sentiment classification of English customer reviews using English sentiment dictionaries, there are few researches on classifying sentiment of Korean customer reviews using Korean sentiment dictionaries.
Heeryon Cho, Sang-Hyun Choi
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Text sentiment classification based on the automatic expansion of sentiment dictionary
Proceedings of the 5th International Conference on Communication and Information Processing, 2019The sentiment dictionary-based text sentiment classification method is one of the main methods in the field of sentiment analysis, and the completeness of the sentiment dictionary is one of the key factors of the method. With the constant appearance of the new terms on Internet, the static sentiment dictionary cannot cover all the sentiment words.
Haijie Pang, Hua Zhao, Chenjing Gong
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Sentiment analysis of Chinese micro-blog text based on extended sentiment dictionary
Future Generation Computer Systems, 2018Abstract Micro-blog texts contain complex and abundant sentiments which reflect user’s standpoints or opinions on a given topic. However, the existing classification method of sentiments cannot facilitate micro-blog topic monitoring. To solve this problem, this paper presents a sentiment analysis method for Chinese micro-blog text based on the ...
Shunxiang Zhang +3 more
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Text sentiment classification for SNS-based marketing using domain sentiment dictionary
2012 IEEE International Conference on Consumer Electronics (ICCE), 2012In this paper, we propose a new method of classifying the sentiment behind tweets that contains formal and informal vocabulary. Previous methods used only formal vocabulary to classify the sentiments behind the sentences. However, these methods are ineffective in classifying texts since internet users make sentences using informal vocabulary.
Sang-Hyun Cho, Hang-Bong Kang
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Sentiment Dictionary Refinement Using Word Embeddings
2015Previous works on Polish sentiment dictionaries revealed the superiority of machine learning on vectors created from word contexts (concordances or word co-occurrence distributions), especially compared to the SO-PMI method (semantic orientation of pointwise mutual information).
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Large Sentiment Dictionary of Russian Words
2023Vladimir V. Bochkarev +4 more
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Dictionary-based sentiment analysis with crowdcoding
2015Negativity is an important dimension in the social sciences: e.g. in the study of news values, negative campaigning or political polarization. Our paper presents a supervised procedure for fine-grained negative sentiment analysis at the sentence level. We develop a dictionary of negative valued political vocabulary and establish the dictionary’s terms’
Haselmayer, Martin, Jenny, Marcelo
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Polarity Consistency Checking for Sentiment Dictionaries.
2012Polarity classification of words is important for applications such as Opinion Mining and Sentiment Analysis. A number of sentiment word/sense dictionaries ave been manually or (semi)automatically constructed. The dictionaries have substantial inaccuracies.
Dragut, Eduard +4 more
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Sentiment Analysis of Movie Reviews Based on Sentiment Dictionary and Deep Learning Models
Proceedings of the 2023 6th International Conference on Robot Systems and Applications, 2023Caihong Liu, Changhui Liu
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