Results 221 to 230 of about 3,503 (268)

Lexicon-Based Sentiment Analysis

2020
The sentiment analysis is an emerging field of natural language processing which is based on human–computer interaction, information retrieval and distilling sentiments from the ever-increasing online social data. It involves identifying the words or phrases in the underlying text express positive, negative or neutral attitude.
Kavleen Kour, Jaspreet Kour, Parminder Singh   +2 more
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Neural domain adaptation of sentiment lexicons

2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 2017
Sentiment lexicons are widely used in computational linguistics, as they represent a resource that directly contains subjective sentimental knowledge. Usually these sentiment lexica are generic and developed without any specific semantic domain in mind.
Oscar Araque, Marco Guerini, Carlo Strapparava, Carlos Iglesias   +3 more
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Lexicon-based sentiment analysis by mapping conveyed sentiment to intended sentiment

International Journal of Web Engineering and Technology, 2014
As consumers nowadays generate increasingly more content describing their experiences with, e.g., products and brands in various languages, information systems monitoring a universal, language-independent measure of people's intended sentiment are crucial for today's businesses.
Hogenboom, A., Bal, M., Frasincar, F., Bal, D., Kaymak, U., De Jong, F.   +5 more
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Sinhala Sentiment Analysis using Corpus based Sentiment Lexicon

2019 19th International Conference on Advances in ICT for Emerging Regions (ICTer), 2019
Sentiment analysis has become a much needed natural language processing technique as the usages of sentiment analysis based tools are getting popular. With sufficient amount of lexical resources available, an accurate sentiment analysis can be performed for English. Sinhala is a morphologically rich but a less resourced language.
P. D. T. Chathuranga, S. A. S. Lorensuhewa, M. A. L. Kalyani   +2 more
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Learning Ranked Sentiment Lexicons

2015
In contrast to classic retrieval, where users search factual information, opinion retrieval deals with the search of subjective information. A major challenge in opinion retrieval is the informal style of writing and the use of domain-specific jargon to describe the opinion targets.
Filipa Peleja, João Magalhães
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Building Place-Specific Sentiment Lexicon

Proceedings of the 2nd International Conference on Digital Signal Processing, 2018
With the development of various smart applications, reviewing and grading places using location-based services has become a routine task among users. The user evaluations can significantly affect not only potential visitors, but also service providers. However, too much data interrupts people's reasonable decision. In this paper, we propose a method to
Youngmin Lee, Seula Park, Kiyun Yu, Jiyoung Kim   +3 more
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Topic-Adaptive Sentiment Lexicon Construction

2018 First Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia), 2018
In this paper, we propose a novel sentiment-aware topic model to construct a topic-adaptive sentiment lexicon (TaSL) for higher-level sentiment classification tasks. It’s widely recognized that sentiment lexicon as a useful prior knowledge is crucial in sentiment analysis.
Dong Deng, Liping Jing, Jian Yu, Michael K. Ng   +3 more
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Semi-supervised Acquisition of Croatian Sentiment Lexicon

2012
Sentiment analysis aims to recognize subjectivity expressed in natural language texts. Subjectivity analysis tries to answer if the text unit is subjective or objective, while polarity analysis determines whether a subjective text is positive or negative.
Glavaš, Goran, Šnajder, Jan, Dalbelo Bašić, Bojana   +2 more
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Cross-Domain Contextualization of Sentiment Lexicons

2010
The simplicity of using Web 2.0 platforms and services has resulted in an abundance of user-generated content. A significant part of this content contains user opinions with clear economic relevance - customer and travel reviews, for example, or the articles of well-known and respected bloggers who influence purchase decisions.
Gindl, Stefan, Weichselbraun, Albert, Scharl, Arno   +2 more
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Lexicon Ensemble and Lexicon Pooling for Sentiment Polarity Detection

IETE Technical Review, 2015
ABSTRACTThis paper presents our experimental work towards detecting sentiment polarity of free-form texts: first by using an ensemble of sentiment lexicons and then through a lexicon pooled machine learning classifier. In the ensemble design, we combined four different sentiment lexicons in different ways to determine sentiment polarities of different ...
Madhavi Devaraj, Rajesh Piryani, Vivek Kumar Singh   +2 more
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