Sentiment Analysis - What are we talking about?
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Good News vs. Bad News: What are they talking about?
Today{'}s massive news streams demand the automate analysis which is provided by various online news explorers. However, most of them do not provide sentiment analysis. The main problem of sentiment analysis of news is t…
Sentiment Analysistext annotationMeasuring Issue Ownership using Word Embeddings
Sentiment and topic analysis are common methods used for social media monitoring. Essentially, these methods answers questions such as, "what is being talked about, regarding X", and "what do people feel, regarding X". I…
Document EmbeddingWord EmbeddingsSentiment Analysis for Measuring Hope and Fear from Reddit Posts During the 2022 Russo-Ukrainian Conflict
This paper proposes a novel lexicon-based unsupervised sentimental analysis method to measure the $``\textit{hope}"$ and $``\textit{fear}"$ for the 2022 Ukrainian-Russian Conflict. $\textit{Reddit.com}$ is utilised as th…
Sentiment AnalysisTopic Detection and Summarization of User Reviews
A massive amount of reviews are generated daily from various platforms. It is impossible for people to read through tons of reviews and to obtain useful information. Automatic summarizing customer reviews thus is importa…
Sentiment AnalysisWhat talking you?: Translating Code-Mixed Messaging Texts to English
Translation of code-mixed texts to formal English allow a wider audience to understand these code-mixed languages, and facilitate downstream analysis applications such as sentiment analysis. In this work, we look at tran…
Sentiment AnalysisTranslation