Results 1 to 10 of about 4,089 (112)
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, Ziheng Yu, Yueting Meng
exaly +3 more sources
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, Guanghao Jin
exaly +2 more sources
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
openaire +2 more sources
Construction of a sentimental word dictionary [PDF]
Proceedings of the 19th ACM international conference on Information and knowledge management, 2010 The Web has plenty of reviews, comments and reports about products, services, government policies, institutions, etc. The opinions expressed in these reviews influence how people regard these entities. For example, a product with consistently good reviews is likely to sell well, while a product with numerous bad reviews is likely to sell poorly.
Eduard C. Dragut +3 more
openaire +1 more source
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 ...
Eren Elma +2 more
openaire +2 more sources
Creating sentiment dictionaries via triangulation [PDF]
Decision Support Systems, 2012 The paper presents a semi-automatic approach to creating sentiment dictionaries in many languages. We first produced high-level gold-standard sentiment dictionaries for two languages and then translated them automatically into third languages. Those words that can be found in both target language word lists are likely to be useful because their word ...
Josef Steinberger +9 more
openaire +3 more sources
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
openaire +2 more sources
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
openaire +2 more sources
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
openaire +3 more sources
Sentiment Classification Algorithm Based on the Cascade of BERT Model and Adaptive Sentiment Dictionary [PDF]
Wireless Communications and Mobile Computing, 2021 The mobile social network contains a large amount of information in a form of commentary. Effective analysis of the sentiment in the comments would help improve the recommendations in the mobile network. With the development of well‐performing pretrained language models, the performance of sentiment classification task based on deep learning has seen ...
Ruixue Duan +4 more
openaire +1 more source