Results 211 to 220 of about 3,503 (268)

Perceived Quality of Service in Primary Health Care Based on Google Maps Reviews Before, During, and After the COVID-19 Pandemic: Sentiment Analysis.

J Med Internet Res
Aunimo L, Oprescu AM, Kudryavtsev D, Munoz Saavedra L, Romero Ternero MDC.   +4 more
europepmc   +1 more source

What Patients With Asthma Share When No One Listens: Multimethod Observational Study of Patient Narratives on Reddit.

J Med Internet Res
Curto-Sánchez E, Salazar-Palacios G, Martín-Varillas A, Prieto-Maíllo EC, Ramos-González J, Dávila-González I, Palacios-Ceña D, Cuenca-Zaldivar JN.   +7 more
europepmc   +1 more source

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Thai Sentiment Lexicon Construction

2021 13th International Conference on Knowledge and Smart Technology (KST), 2021
Online platforms have become increasingly integrated into daily lives of Thai citizens. Besides being used to query information, online platforms are the medium to exchange opinions and discuss various topics via posts or comments. Since the number of posts and comments can be very large, understanding which topics users are talking about and grasping ...
Jeerawat Intasorn, Sethavidh Gertphol, Usa Sammapun   +2 more
openaire   +1 more source

Sentiment analysis: Arabic sentiment lexicons

2017 Sensors Networks Smart and Emerging Technologies (SENSET), 2017
Sentiment Analysis is the process of identifying sentiment from text written in a natural language with respect to the entity it is referring to. Sentiment lexicons are used to perform this task. Several lexicons are available to perform this task in English using WordNet.
Khaled S. Sabra, Rached N. Zantout, Mohamad A. El Abed, Lama Hamandi   +3 more
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Leveraging Personalized Sentiment Lexicons for Sentiment Analysis

Proceedings of the 2020 ACM SIGIR on International Conference on Theory of Information Retrieval, 2020
We propose a novel personalized approach for the sentiment analysis task. The approach is based on the intuition that the same sentiment words can carry different sentiment weights for different users. For each user, we learn a language model over a sentiment lexicon to capture her writing style.
Dominic Seyler, Jiaming Shen, Jinfeng Xiao, Yiren Wang, ChengXiang Zhai   +4 more
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Sentiment Lexicon Enhanced Neural Sentiment Classification

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Sentiment classification is an important task in the sentiment analysis field. Many deep learning based sentiment classification methods have been proposed in recent years. However, these methods usually rely on massive labeled texts to train sentiment classifiers, which are expensive and time-consuming to annotate. Luckily, many high-quality sentiment
Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie   +4 more
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Financial Sentiment Lexicon Analysis

2018 IEEE 12th International Conference on Semantic Computing (ICSC), 2018
The modern stock market is a popular place to increase wealth and generate income, but the fundamental problem of when to buy or sell shares, or which stocks to buy has not been solved. With the availability of the Internet and its financial social networks, such as StockTwits and SeekingAlpha, investors around the world have new opportunities to ...
Sahar Sohangir, Nicholas Petty, Dingding Wang   +2 more
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Review on Sentiment Lexicons

2018 3rd International Conference on Communication and Electronics Systems (ICCES), 2018
Sentiment lexicon is referred as Lexical Resource for sentiment analysis. It contains lexical units with their sentiment orientations. This paper introduces different sentiment lexicons with their explanations and state of art in the field of sentiment analysis and opinion mining.
Rajkumar S. Jagdale, Vishal S. Shirsat, Sachin N. Deshmukh   +2 more
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