[HTML][HTML] Sentiment analysis algorithms and applications: A survey
Sentiment Analysis (SA) is an ongoing field of research in text mining field. SA is the
computational treatment of opinions, sentiments and subjectivity of text. This survey paper …
computational treatment of opinions, sentiments and subjectivity of text. This survey paper …
Evaluative language beyond bags of words: Linguistic insights and computational applications
F Benamara, M Taboada, Y Mathieu - Computational Linguistics, 2017 - direct.mit.edu
The study of evaluation, affect, and subjectivity is a multidisciplinary enterprise, including
sociology, psychology, economics, linguistics, and computer science. A number of excellent …
sociology, psychology, economics, linguistics, and computer science. A number of excellent …
Multi-lingual support for lexicon-based sentiment analysis guided by semantics
A Hogenboom, B Heerschop, F Frasincar… - Decision support …, 2014 - Elsevier
Many sentiment analysis methods rely on sentiment lexicons, containing words and their
associated sentiment, and are tailored to one specific language. Yet, the ever-growing …
associated sentiment, and are tailored to one specific language. Yet, the ever-growing …
An empirical study of sentence features for subjectivity and polarity classification
While a number of isolated studies have analysed how different sentence features are
beneficial in Sentiment Analysis, a complete picture of their effectiveness is still lacking. In …
beneficial in Sentiment Analysis, a complete picture of their effectiveness is still lacking. In …
Exploiting emoticons in polarity classification of text
A Hogenboom, D Bal, F Frasincar… - Journal of Web …, 2015 - journals.riverpublishers.com
With people increasingly using emoticons in written text on the Web in order to ex-press,
stress, or disambiguate their sentiment, it is crucial for automated sentiment analysis tools to …
stress, or disambiguate their sentiment, it is crucial for automated sentiment analysis tools to …
Review on sentiment analysis for text classification techniques from 2010 to 2021
Progression in the popularity of social media activities had provided huge amount of data in
the form of text that can immeasurably augment its specialty. This textual data offers a …
the form of text that can immeasurably augment its specialty. This textual data offers a …
Sentiment analysis main tasks and applications: a survey
The blooming of social media has simulated interest in sentiment analysis. Sentiment
analysis aims to determine from a specific piece of content the overall attitude of its author in …
analysis aims to determine from a specific piece of content the overall attitude of its author in …
Domain independent approach for aspect oriented sentiment analysis for product reviews
N Shelke, S Deshpande, V Thakare - Proceedings of the 5th International …, 2017 - Springer
The Sentiment analysis from text documents is emerging field for the research in Natural
Language Processing (NLP) and text mining. Feature specific opinion matters more than the …
Language Processing (NLP) and text mining. Feature specific opinion matters more than the …
Review of sentiment analysis and opinion mining algorithms
Sentiment Analysis or Opinion Mining is an important field in text mining. Nowadays the
products which are produced by companies or persons are reached to consumers …
products which are produced by companies or persons are reached to consumers …
Polarity classification using structure-based vector representations of text
The exploitation of structural aspects of content is becoming increasingly popular in rule-
based polarity classification systems. Such systems typically weight the sentiment conveyed …
based polarity classification systems. Such systems typically weight the sentiment conveyed …