نتایج جستجو برای: sentiment dictionary

تعداد نتایج: 32600  

Sentiment analysis is the process of analyzing a person’s perception or belief about a particular subject matter. However, finding correct opinion or interest from multi-facet sentiment data is a tedious task. In this paper, a method to improve the sentiment accuracy by utilizing the concept of categorized dictionary for sentiment classification and analysis is proposed.  A categorized dictiona...

Journal: :journal of computer and robotics 0
faranak ebrahimi rashed faculty of computer and information technology engineering, qazvin branch, islamic azad university, qazvin, iran neda abdolvand department of social sciences and economics, alzahra university, tehran, iran

due to the increasing growth of digital content on the internet and social media, sentiment analysis problem is one of the emerging fields. this problem deals with information extraction and knowledge discovery from textual data using natural language processing has attracted the attention of many researchers. construction of sentiment lexicon as a valuable language resource is a one of the imp...

Due to the increasing growth of digital content on the internet and social media, sentiment analysis problem is one of the emerging fields. This problem deals with information extraction and knowledge discovery from textual data using natural language processing has attracted the attention of many researchers. Construction of sentiment lexicon as a valuable language resource is a one of the imp...

Journal: :J. Inf. Sci. Eng. 2013
Hui-Hsin Wu Angela Charng-Rurng Tsai Richard Tzong-Han Tsai Jane Yung-jen Hsu

With the rise of social media, sentiment analysis has become a popular research field in recent years. Sentiment dictionaries are vital for this task; however, there are few available in Chinese. Translated English sentiment dictionaries are often inaccurate or lacking vocabulary. Moreover, many dictionaries provide only binary polarity values or no values at all. In this paper, we integrate se...

2017
Martin Haselmayer Marcelo Jenny

Sentiment is important in studies of news values, public opinion, negative campaigning or political polarization and an explosive expansion of digital textual data and fast progress in automated text analysis provide vast opportunities for innovative social science research. Unfortunately, tools currently available for automated sentiment analysis are mostly restricted to English texts and requ...

2013
Pedro Paulo Balage Filho Thiago Alexandre Salgueiro Pardo Sandra M. Aluísio

This work presents an evaluation of the Brazilian Portuguese LIWC dictionary for Sentiment Analysis. This evaluation is conducted by comparison against two other sentiment resources for Portuguese language: Opinion Lexicon and SentiLex. We conducted an intrinsic and an extrinsic evaluations and show how LIWC dictionary could be used in sentiment analysis projects.

2011
Wei Peng Dae Hoon Park

Although sentiment analysis has attracted a lot of research, little work has been done on social media data compared to product and movie reviews. This is due to the low accuracy that results from the more informal writing seen in social media data. Currently, most of sentiment analysis tools on social media choose the lexicon-based approach instead of the machine learning approach because the ...

2015
Tao-Hsing Chang Ming-Jhih Lin Chun-Hsien Chen Shao-Yu Wang

In this study, an automatic classification method based on the sentiment polarity of text is proposed. This method uses two sentiment dictionaries from different sources: the Chinese sentiment dictionary CSWN that integrates Chinese WordNet with SentiWordNet, and the sentiment dictionary obtained from a training corpus labeled with sentiment polarities. In this study, the sentiment polarity of ...

2015
Heeryon Cho Sang-Hyun Choi

We present a method of automatically constructing a domain-specific Korean sentiment dictionary which can be used to classify the sentiment of online movie reviews. More than 1.18 million online movie reviews with movie ratings ranging between 1 to 4 and 7 to 10 were collected across fourteen different movie genres to calculate the joint probability of a given word and the sentiment of movie re...

Journal: :CoRR 2016
Liang Wu Fred Morstatter Huan Liu

Sentiment in social media is increasingly considered as an important resource for customer segmentation, market understanding, and tackling other socio-economic issues. However, sentiment in social media is difficult to measure since user-generated content is usually short and informal. Although many traditional sentiment analysis methods have been proposed, identifying slang sentiment words re...

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