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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.
Guixian Xu +5 more
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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 ...
Byung-Won On +5 more
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Brand public opinion data analysis method based on deep learning. [PDF]
PLoS ONEWith 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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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 ...
Zhi Li, Rui Li, Guanghao Jin
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Sentiment analysis based on a social media customised dictionary
MethodsX, 2021 This article presents a methodology to classify the polarity of words from selected Tweets. Usually, social media sentiment (SMS) is lexically determined, manually or by machine learning.
Milene Dias Almeida +3 more
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Fine-grained Sentiment Analysis Based on Combination of Attention and Gated Mechanism [PDF]
Jisuanji kexue, 2021 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]
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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Performance Analysis of Different Sentiment Polarity Dictionaries on Turkish Sentiment Detection
2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), 2022 - In places such as social media and news websites, the number of web-based textual materials those deal with today’s events and contain people’s emotions continues to increase inevitably day by day. All of these texts, with their own importance, affect our society in some way. For this reason, it is very important to automatically detect the sentiment
Ayse Berna Altinel +2 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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2023 Innovations in Intelligent Systems and Applications Conference (ASYU), 2023 Sentiment analysis is a research area that aims to find out people\"s opinions by matching data to topics, notions, etc. There are several approaches for sentiment analysis (e.g., machine learning-based, dictionary-based, hybrid-based, etc.). In this study, we presented a new tripolar Turkish sentiment dictionary, SentiMenTR, which consists of bigrams ...
Eren Elma +2 more
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