Results 1 to 10 of about 1,654 (258)
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 ...
Ali Hürriyetoğlu +2 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 ...
Ayse Berna Altınel
exaly +3 more sources
Brand Potential User Identification Algorithm Based on Sentiment Analysis
Frontiers in Psychology, 2022 This paper firstly compares the current research status of text sentiment analysis and potential customer identification, and introduces the process of building sentiment dictionaries and feature selection, feature screening, and common classification ...
Hongxia Li
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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 Altınel
exaly +3 more sources
IEEE Access, 2019 Sentiment analysis of Chinese micro-blog based on sentiment dictionary has become a challenging research subject in the field of artificial intelligence.
Shuzhi Su, Kui Lu, Jiesheng Wu
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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
doaj +2 more sources
Polarity Consistency Checking for Domain Independent Sentiment Dictionaries [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2015 Polarity classification of words is important for applications such as Opinion Mining and Sentiment Analysis. A number of sentiment word/sense dictionaries have been manually or (semi)automatically constructed. We notice that these sentiment dictionaries have numerous inaccuracies.
Weiyi Meng, Clement Yu
exaly +2 more sources
Lexical Sense Labeling and Sentiment Potential Analysis Using Corpus-Based Dependency Graph
Mathematics, 2021 This paper describes a graph method for labeling word senses and identifying lexical sentiment potential by integrating the corpus-based syntactic-semantic dependency graph layer, lexical semantic and sentiment dictionaries.
Tajana Ban Kirigin +2 more
doaj +1 more source
JMIR Medical Education, 2023 BackgroundField notes, a form for resident-preceptor clinical encounter feedback, are widely adopted across Canadian medical residency training programs for documenting residents’ performance.
Kevin Jia Qi Lu +3 more
doaj +1 more source
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