Results 11 to 20 of about 4,618 (250)
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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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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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
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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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Exploring E-Commerce Product Experience Based on Fusion Sentiment Analysis Method
IEEE Access, 2022 With the speedy development of e-commerce, a growing number of customers tend to share their subjective perceptions of the product or service on the Internet. This phenomenon makes the commercial value of online reviews increasingly prominent.
Huaqian He, Guijun Zhou, Shuang Zhao
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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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