The impact of Twitter sentiment on renewable energy stocks
Sign Up to like & getrecommendations! Published in 2018 at "Energy Economics"
DOI: 10.1016/j.eneco.2018.10.014
Abstract: We study the impact of Twitter sentiment and sentiment divergence on returns, volatility and trading volumes for renewable energy stocks. Based on daily time series for Twitter sentiment and Twitter sentiment divergence, we estimate VAR… read more here.
Keywords: renewable energy; trading; twitter sentiment; sentiment ... See more keywords
Towards Twitter sentiment classification by multi-level sentiment-enriched word embeddings
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.11.023
Abstract: Abstract Existing studies learn sentiment-specific word representations to boost the performance of Twitter sentiment classification, via encoding both n-gram and distant supervised tweet sentiment information in learning process. Pioneer efforts explicitly or implicitly assume that… read more here.
Keywords: word; sentiment; twitter sentiment; sentiment classification ... See more keywords
Twitter sentiment and stock market: a COVID-19 analysis
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DOI: 10.1108/jes-09-2022-0486
Abstract: PurposeUsing textual analysis the authors study the relationship between social media sentiments and stock markets during the COVID-19 pandemic.Design/methodology/approachThe study analysis is based on a sample of 1,616,007 tweets over the period January to June… read more here.
Keywords: stock market; twitter sentiment; analysis; sentiment stock ... See more keywords
Deep Convolution Neural Networks for Twitter Sentiment Analysis
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DOI: 10.1109/access.2017.2776930
Abstract: Twitter sentiment analysis technology provides the methods to survey public emotion about the events or products related to them. Most of the current researches are focusing on obtaining sentiment features by analyzing lexical and syntactic… read more here.
Keywords: convolution neural; sentiment; twitter sentiment; deep convolution ... See more keywords
Possibilistic Fuzzy C-means Topic Modelling for Twitter Sentiment Analysis
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DOI: 10.22266/ijies2018.0630.11
Abstract: Social media are generating an enormous amount of sentiment data in the form of companies getting their customers’ opinions on their products, political sentiment analysis and movie reviews, etc. In this scenario, twitter sentiment analysis… read more here.
Keywords: topic modelling; sentiment; twitter sentiment; possibilistic fuzzy ... See more keywords