The rapid growth of Internet-based applications, such as social media platforms and blogs,
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …

Sentiment analysis (SA), also called Opinion Mining (OM) is the task of extracting and
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …

Using topic modeling and lexicon-based word similarity, we find that stories generated by
GPT-3 exhibit many known gender stereotypes. Generated stories depict different topics and …

We present the results and main findings of SemEval-2020 Task 12 on Multilingual
Offensive Language Identification in Social Media (OffensEval 2020). The task involves …

The chronic nature of coronavirus disease (COVID-19) outbreak and lack of success in
treatment and cure is creating an environment that is crucial for mental wellbeing. Presently …

Text Mining: Wissensrohstoff Text Page 1 Gerhard Heyer Uwe Quasthoff Thomas Wittig Text
Mining: Wissensrohstoff Text Konzepte, Algorithmen, Ergebnisse W3L-Verlag | Herdecke …

With the rapid development of Internet technology and social networks, a large number of
comment texts are generated on the Web. In the era of big data, mining the emotional …

Sentiment analysis is one of the fastest growing research areas in computer science, making
it challenging to keep track of all the activities in the area. We present a computer-assisted …

The extraction of useful insights from text with various types of statistical algorithms is
referred to as text mining, text analytics, or machine learning from text. The choice of …

Recent trends suggest that neural-network-inspired word embedding models outperform
traditional count-based distributional models on word similarity and analogy detection tasks …