Results 11 to 20 of about 4,837 (247)
Methods of improving sentiment analysis based on sentiment dictionary
Franklin OpenSentiment 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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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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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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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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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
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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 ...
Eren Elma +2 more
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Sentiment Classification of News Text Data Using Intelligent Model
Frontiers in Psychology, 2021 Text sentiment classification is a fundamental sub-area in natural language processing. The sentiment classification algorithm is highly domain-dependent.
Shitao Zhang
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Sentiment analysis method of comment text based on word vector with sentiment information
Journal of Hebei University of Science and Technology, 2021 In order to solve the problem of low accuracy of sentiment classification caused by neglecting the sentiment information of words in distributed word representation method,an improved sentiment analysis method incorporating weighted word vectors of ...
Meiyuan LYU +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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PLoS ONE, 2023 Natural language processing of medical records offers tremendous potential to improve the patient experience. Sentiment analysis of clinical notes has been performed with mixed results, often highlighting the issue that dictionary ratings are not domain ...
Danne C Elbers +8 more
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