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Natural Language Engineering, 2012
AbstractIn recent years, the interest among the research community in sentiment analysis (SA) has grown exponentially. It is only necessary to see the number of scientific publications and forums or related conferences to understand that this is a field with great prospects for the future.
Eugenio Martínez-Cámara +3 more
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AbstractIn recent years, the interest among the research community in sentiment analysis (SA) has grown exponentially. It is only necessary to see the number of scientific publications and forums or related conferences to understand that this is a field with great prospects for the future.
Eugenio Martínez-Cámara +3 more
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2016
The tasks that falls under the errands that takes after Natural Language Processing approaches includes Named Entity Recognition, Information Retrieval, Machine Translation, and so on. Wherein Sentiment Analysis utilizes Natural Language Processing as one of the way to locate the subjective content showing negative, positive or impartial (neutral ...
Sanjeera Siddiqui +2 more
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The tasks that falls under the errands that takes after Natural Language Processing approaches includes Named Entity Recognition, Information Retrieval, Machine Translation, and so on. Wherein Sentiment Analysis utilizes Natural Language Processing as one of the way to locate the subjective content showing negative, positive or impartial (neutral ...
Sanjeera Siddiqui +2 more
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Sentiment Analysis in TripAdvisor
IEEE Intelligent Systems, 2017Web platforms such as TripAdvisor allow tourists to describe their experiences with hotels, restaurants, and other tourist attractions. This article proposes TripAdvisor as a source of data for sentiment analysis tasks. The authors develop an analysis for studying the matching between users’ sentiments and automatic sentiment-detection algorithms. They
Ana Valdivia +2 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, 2020We 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 +4 more
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An Aspect of Sentiment Analysis: Sentimental Noun with Dual Sentimental Words Analysis
2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC), 2017With the increasing number of digital data and new technologies, business trends and model are becoming more dependent on computer science for making business decision and operation. By extracting user opinion for decision making and market analysis sentiment analysis is one of fast growing and reliable tool nowadays.
Prosanta Kumar Chaki +3 more
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Joint sentiment/topic model for sentiment analysis
Proceedings of the 18th ACM conference on Information and knowledge management, 2009Sentiment analysis or opinion mining aims to use automated tools to detect subjective information such as opinions, attitudes, and feelings expressed in text. This paper proposes a novel probabilistic modeling framework based on Latent Dirichlet Allocation (LDA), called joint sentiment/topic model (JST), which detects sentiment and topic simultaneously
Chenghua Lin 0002, Yulan He 0001
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2015
Sentiment analysis is the computational study of people's opinions, sentiments, emotions, and attitudes. This fascinating problem is increasingly important in business and society. It offers numerous research challenges but promises insight useful to anyone interested in opinion analysis and social media analysis.
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Sentiment analysis is the computational study of people's opinions, sentiments, emotions, and attitudes. This fascinating problem is increasingly important in business and society. It offers numerous research challenges but promises insight useful to anyone interested in opinion analysis and social media analysis.
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2016
This study examines the role of context in evaluating responses to social media posts online. Current sentiment analysis tools evaluate the content of posts without considering the broader context that the post comes from. Utilizing data from an in-person study, we examine differences between perceived sentiment evaluation when social media response ...
William Frankenstein +2 more
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This study examines the role of context in evaluating responses to social media posts online. Current sentiment analysis tools evaluate the content of posts without considering the broader context that the post comes from. Utilizing data from an in-person study, we examine differences between perceived sentiment evaluation when social media response ...
William Frankenstein +2 more
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Time effect in sentiment analysis
2016 24th Signal Processing and Communication Application Conference (SIU), 2016Sentiment analysis is a trending topic that is widely studied in the recent years. As a result of social media being used actively, companies use machine learning systems to monitor and understand their customers' feedback. Over the time a given classical sentiment analysis system is being affected because of some phrases disappear and some other words
Meryem Ekinci +2 more
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2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII), 2023
Barlette Makuwe +2 more
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Barlette Makuwe +2 more
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