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Chinese Text Sentiment Analysis Based on Extended Sentiment Dictionary [PDF]
The method of text sentiment analysis based on sentiment dictionary often has the problems that the sentiment dictionary doesn't contain enough sentiment words or omits some field sentiment words.
Guixian Xu +5 more
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Sentiment classification can provide the decision support of social applications such as trend judgment, public opinion monitoring, etc. However, the accuracy of sentiment classification for Chinese Weibo is still not satisfactory due to the complexity ...
Zhongliang Wei +4 more
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The most commonly used methods in text sentiment analysis are rule-based sentiment dictionary and machine learning, with the later referring to the use of vectors to represent text followed by the use of machine learning to classify the vectors.
Hao Liu, Xi Chen, Xiaoxiao Liu
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Toward robust social media sentiment for SMEs: a comparative study of dictionary-based and machine learning approaches with insights for hybrid methodologies [PDF]
Small and Medium-sized Enterprises (SMEs) increasingly rely on social media to engage customers, promote products, and enhance workplace collaboration.
Heru Susanto +14 more
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Efficient Sentiment-Aware Web Crawling Methods for Constructing Sentiment Dictionary [PDF]
In traditional web crawling, all web pages crawled are first stored to databases. As a result, this approach can store unnecessary web pages and requires additional running time for the construction of a sentiment dictionary in a particular domain ...
Byung-Won On +5 more
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Sentiment Analysis of Danmaku Videos Based on Naïve Bayes and Sentiment Dictionary [PDF]
Danmaku video provides a platform for users to communicate online while watching videos. Danmaku is a live commenting function where the comments related to the video being screened are created by users and prominently shown in real-time on the video ...
Zhi Li, Rui Li, Guanghao Jin
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Methods of improving sentiment analysis based on sentiment dictionary
Sentiment analysis relying on predefined dictionaries often suffers from reduced accuracy due to biases in the sentiment scores assigned to certain words.
Janghoon Yang
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Brand public opinion data analysis method based on deep learning. [PDF]
With the rapid development of Internet information technology and digital technology, various network platforms and media are showing a vigorous growth momentum.
Min Li, Wonjun Chung
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Fine-grained Sentiment Analysis Based on Combination of Attention and Gated Mechanism [PDF]
The fine-grained sentiment analysis is one of the key problems in the area of natural language processing.By learning contextual information of the text to conduct sentiment analysis on specific aspects,it can help users and businesses to better ...
ZHANG Jin, DUAN Li-guo, LI Ai-ping, HAO Xiao-yan
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Sentiment Analysis of Social Networking Data Using Categorized Dictionary [PDF]
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.
Akansha Singh +3 more
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