Sentiment lexicons and non-English languages: a survey
The ever-increasing number of Internet users and online services, such as Amazon, Twitter
and Facebook has rapidly motivated people to not just transact using the Internet but to also …
and Facebook has rapidly motivated people to not just transact using the Internet but to also …
STCS lexicon: Spectral-clustering-based topic-specific Chinese sentiment lexicon construction for social networks
B Zhang, D Xu, H Zhang, M Li - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
A sentiment lexicon is an important foundation for social network sentiment analysis.
However, in social networks, the sentiments of words vary with their topics of use, which …
However, in social networks, the sentiments of words vary with their topics of use, which …
An automatic non-English sentiment lexicon builder using unannotated corpus
Sentiment lexicons in the English language are widely accessible while in many other
languages, these resources are extremely deficient. Current techniques and methods for …
languages, these resources are extremely deficient. Current techniques and methods for …
Lexicon information in neural sentiment analysis: a multi-task learning approach
This paper explores the use of multi-task learning (MTL) for incorporating external
knowledge in neural models. Specifically, we show how MTL can enable a BiLSTM …
knowledge in neural models. Specifically, we show how MTL can enable a BiLSTM …
Constructing sentiment lexicons in Norwegian from a large text corpus
Sentiment lexicons are useful to automatically extract sentiment from text. In this paper, we
generate several Norwegian sentiment lexicons by extracting sentiment information from two …
generate several Norwegian sentiment lexicons by extracting sentiment information from two …
Building domain specific sentiment lexicons combining information from many sentiment lexicons and a domain specific corpus
Most approaches to sentiment analysis requires a sentiment lexicon in order to automatically
predict sentiment or opinion in a text. The lexicon is generated by selecting words and …
predict sentiment or opinion in a text. The lexicon is generated by selecting words and …
An integrated semi-automated framework for domain-based polarity words extraction from an unannotated non-English corpus
Building sentiment analysis resources is a fundamental step before develo** any
sentiment analysis model. Sentiment lexicons are one of these critical resources. However …
sentiment analysis model. Sentiment lexicons are one of these critical resources. However …
LSTM based deep RNN architecture for election sentiment analysis from Bengali newspaper
This work presents the sentiment analysis of the political news articles in Bengali. This
domain is quite complicated, because the political news is subjective and depends on …
domain is quite complicated, because the political news is subjective and depends on …
Advanced classification lists (dirty word lists) for automatic security classification
With the increasing risk of data leakage, information guards have emerged as a novel
concept in the field of security which bears similarity to spam filter that examine the content …
concept in the field of security which bears similarity to spam filter that examine the content …
Sinhala Sentiment Lexicon Generation using Word Similarity
B Karunanayake, U Munasinghe… - … on Advances in ICT …, 2020 - ieeexplore.ieee.org
Sentiment lexicon plays a vital role in sentiment analysis. A look at the related literature
suggests that sentiment lexicon creation is considered as a separate task from sentiment …
suggests that sentiment lexicon creation is considered as a separate task from sentiment …