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Sentiment analysis: Arabic sentiment lexicons

2017 Sensors Networks Smart and Emerging Technologies (SENSET), 2017
Sentiment Analysis is the process of identifying sentiment from text written in a natural language with respect to the entity it is referring to. Sentiment lexicons are used to perform this task. Several lexicons are available to perform this task in English using WordNet.
Lama Hamandi   +3 more
openaire   +2 more sources

Sentiment Embeddings with Applications to Sentiment Analysis

IEEE Transactions on Knowledge and Data Engineering, 2016
We propose learning sentiment-specific word embeddings dubbed sentiment embeddings in this paper. Existing word embedding learning algorithms typically only use the contexts of words but ignore the sentiment of texts. It is problematic for sentiment analysis because the words with similar contexts but opposite sentiment polarity, such as good and ...
Ting Liu   +5 more
openaire   +2 more sources

Reddit Sentiment Analysis

SSRN Electronic Journal, 2020
It has never been easier for individual investors to get started trading stocks or options. Companies like Robinhood and Webull even offer zero commission trades, no account minimum size, and incentives like a free stock if a user creates an account. Recently, there has been a huge increase in the growth of users of these types of platforms.
Sebastian Lindskog, Juan A. Serur
openaire   +2 more sources

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.
Alexander Hogenboom   +5 more
openaire   +1 more source

Sentiment Analysis

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.
openaire   +1 more source

Sentiment Analysis of Contrasts

2011
Benamara, Farah, Mathieu, Yvette Yannick
openaire   +1 more source

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