Results 51 to 60 of about 630,301 (124)
Deep Bidirectional LSTM Network Learning-Based Sentiment Analysis for Arabic Text
Journal of Intelligent Systems, 2020 Sentiment analysis aims to predict sentiment polarities (positive, negative or neutral) of a given piece of text. It lies at the intersection of many fields such as Natural Language Processing (NLP), Computational Linguistics, and Data Mining. Sentiments
Elfaik Hanane, Nfaoui El Habib
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Semisupervised Autoencoder for Sentiment Analysis
, 2015 In this paper, we investigate the usage of autoencoders in modeling textual data. Traditional autoencoders suffer from at least two aspects: scalability with the high dimensionality of vocabulary size and dealing with task-irrelevant words.
Zhai, Shuangfei, Zhang, Zhongfei
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Discovering New Sentiments from the Social Web [PDF]
, 2014 A persistent challenge in Complex Systems (CS) research is the phenomenological reconstruction of systems from raw data. In order to face the problem, the use of sound features to reason on the system from data processing is a key step.
Borrego-Díaz, Joaquín +1 more
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TripleSent: a triple store of events associated with their prototypical sentiment [PDF]
, 2016 The current generation of sentiment analysis systems is limited in their real-world applicability because they cannot detect utterances that implicitly carry positive or negative sentiment.
Desmet, Bart +3 more
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A survey on sentiment analysis challenges
Journal of King Saud University: Engineering Sciences, 2018 With accelerated evolution of the internet as websites, social networks, blogs, online portals, reviews, opinions, recommendations, ratings, and feedback are generated by writers. This writer generated sentiment content can be about books, people, hotels,
Doaa Mohey El-Din Mohamed Hussein
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Google Cloud vs. Azure: sentiment analysis accuracy for Polish and English across content types
Journal of Cloud Computing: Advances, Systems and ApplicationsThis study investigated the comparative performance of two popular sentiment analysis tools, Azure Sentiment Analysis and Google Cloud Sentiment Analysis, applied to Polish and English text data.
Łukasz Pawlik
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Multi-Strategy Sentiment Analysis of Consumer Reviews Based on Semantic Fuzziness
IEEE Access, 2018 Since Internet has become an excellent source of consumer reviews, the area of sentiment analysis (also called sentiment extraction, opinion mining, opinion extraction, and sentiment mining) has seen a large increase in academic interest over the last ...
Ying Fang, Hai Tan, Jun Zhang
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The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition
, 2016 Negators, modals, and degree adverbs can significantly affect the sentiment of the words they modify. Often, their impact is modeled with simple heuristics; although, recent work has shown that such heuristics do not capture the true sentiment of multi ...
Kiritchenko, Svetlana, Mohammad, Saif M.
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IEEE Access, 2020 The increase in the volume of user-generated content on Twitter has resulted in tweet sentiment analysis becoming an essential tool for the extraction of information about Twitter users' emotional state.
Huyen Trang Phan +3 more
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Revisiting the Importance of Encoding Logic Rules in Sentiment Classification
, 2018 We analyze the performance of different sentiment classification models on syntactically complex inputs like A-but-B sentences. The first contribution of this analysis addresses reproducible research: to meaningfully compare different models, their ...
Iyyer, Mohit +2 more
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