Results 11 to 20 of about 1,654 (258)
Efficient Sentiment-Aware Web Crawling Methods for Constructing Sentiment Dictionary [PDF]
IEEE Access, 2021 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 because sentiment words should be identified by scanning all web pages in the database.
Byung-Won On +5 more
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TEXTS SENTIMENT-ANALYSIS APPLICATION FOR PUBLIC OPINION ASSESSMENT [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2015 The paper describes an approach to the emotional tonality assessment of natural language texts based on special dictionaries. A method for an automatic assessment of public opinion by means of sentiment-analysis of reviews and discussions followed by ...
I. A. Bessmertny, R. V. Posevkin
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Connection Science, 2022 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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Chinese Text Sentiment Analysis Based on Extended Sentiment Dictionary [PDF]
IEEE Access, 2019 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. In addition, due to the existence of some polysemic sentiment words with positivity, negativity, and neutrality, the words' polarity cannot be accurately ...
Guixian Xu +5 more
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Informatika, 2021 A mathematical model of Internet search and lexical-semantic processing of analogs of the decisions made in various subject areas is proposed. The search is carried out on queries synthesized from descriptions of problem situations. The synthesis process
S. F. Lipnitsky
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Sentiment Analysis of Social Networking Data Using Categorized Dictionary [PDF]
Journal of Information Technology Management, 2020 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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Sentiment Analysis of German Texts in Finance: Improving and Testing the BPW Dictionary
Journal of Banking and Financial Economics, 2021 Using the dictionary-based approach to measure the sentiment of finance-related texts is primarily focused on English-speaking content. This is due to the need for domain-specific dictionaries and the primary availability of those in English.
Matthias Pöferlein
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Japanese Dictionary for Sentiment Analysis of Counselling Text
Proceedings of the 9th International Conference on Human-Agent Interaction, 2021 Chat-based counselling has become increasingly popular in the era of telecommunication. The need for accessible therapy has been exacerbated by the COVID-19 pandemic. Given its text-based nature, chat-based counselling provides an opportunity for machine-based analysis. It even has the potential to provide machine-based counselling services.
Masataka Nakayama +6 more
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Building a Sentiment Dictionary for Croatian [PDF]
, 2021 The work presented in this paper aims to provide the research community with a set of sentiment lexicons constructed by expanding existing sentiment dictionary resources for Croatian. Our corpus-based syntactic dependency graph approach to sentiment value propagation led us to release automatically generated sentiment lexicons.
Ban Kirigin, Tajana +2 more
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Sentiment Analysis of Danmaku Videos Based on Naïve Bayes and Sentiment Dictionary [PDF]
IEEE Access, 2020 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 screen. These live comments contain complex and rich sentiments, reflecting users’ instant opinions and
Zhi Li 0044, Rui Li, Guanghao Jin
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