Results 221 to 230 of about 17,106 (265)
Sentiment Classification Using Negation as a Proxy for Negative Sentiment. [PDF]
, 2016 We explore the relationship between negated text and negative sentiment in the task of sentiment classification. We propose a novel adjustment factor based on negation occurrences as a proxy for negative sentiment that can be applied to lexicon-based classifiers equipped with a negation detection pre-processing step.
Ohana, Bruno +2 more
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2015
In this work, we focus on the application of text mining and sentiment analysis techniques for analyzing Tunisian users' statuses updates on Facebook. We aim to extract useful information, about their sentiment and behavior, especially during the “Arabic spring” era. To achieve this task, we describe a method for sentiment analysis using Support Vector
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In this work, we focus on the application of text mining and sentiment analysis techniques for analyzing Tunisian users' statuses updates on Facebook. We aim to extract useful information, about their sentiment and behavior, especially during the “Arabic spring” era. To achieve this task, we describe a method for sentiment analysis using Support Vector
openaire +1 more source
Ensemble Learning for Sentiment Classification
2013This paper presents an ensemble learning method for sentiment classification of reviews. The diversity among the machine learning algorithms for sentiment classification with different settings, which includes different features, different weight measures and the modeling of negation, is investigated in three domains, which gives a space for improving ...
Ying Su +4 more
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Combine sentiment lexicon and dependency parsing for sentiment classification
Proceedings of the 2013 IEEE/SICE International Symposium on System Integration, 2013With the rapid development of internet technology and e-commerce sites, there are more and more products review in the network. People are willing to make a survey on the internet before purchasing the products. The automatic identification of the sentiment of comments is necessary.
Changqin Quan, Xiquan Wei, Fuji Ren
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Sentiment classification of short text using sentimental context
2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC), 2017Sentiment analysis has important applications in many areas, including marketing, recommendation, and financial analysis. Since topic modeling can discover hidden semantic structures, researchers put forward sentiment analysis models based on topic models.
Wenjie Zheng +5 more
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Knowledge-oriented Sentiment-level Embedding for Sentiment Classification
Proceedings of the 2019 2nd International Conference on Algorithms, Computing and Artificial Intelligence, 2019Sentiment classification in document-level is an important task in Sentiment Analysis (SA). The existing methods learn mainly information from data for identifying the sentiment polarity of a document. We reveal that the sentiment information such as polarity can be an important external knowledge resource for classification. Our proposals are based on
Xiaoran Xu, Pengfei Li
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A Probabilistic Approach to Tweets' Sentiment Classification
2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, 2013Prior to 2003, mankind generated a total of about 5 Exabyte's of contents. Now, we generate this amount of contents in about two days! The spread of generic (as Twitter, Facebook or Google+) or specialized (as Linked In or Viadeo) social networks allows sharing opinions on different aspects of life every day. Therefore this information is a rich source
COLACE, Francesco +2 more
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Domain Adaptation in Sentiment Classification
2010 Ninth International Conference on Machine Learning and Applications, 2010In this paper we analyse one of the most challenging problems in natural language processing: domain adaptation in sentiment classification. In particular, we look for generic features by making use of linguistic patterns as an alternative to the commonly feature vectors based on ngrams.
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Chinese Sentiment Classification Based on the Sentiment Drop Point
2013The exploding Web opinion data has the essential need for automatic tools to analyze people’s sentiments in many fields. Predicting the polarity of a product review is an important work in applications such as market investigation and trend analysis. In this paper, we focus on analyzing the Chinese sentiment word strengths and the sentiment drop point.
Zhifeng Hao +4 more
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Quantum Representation for Sentiment Classification
2022 IEEE International Conference on Quantum Computing and Engineering (QCE), 2022Fariska Z. Ruskanda +6 more
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