... and behavioral patterns indicative of T2 DM risk. Design/methodology/approach A multi-stage methodology was used, incorporating data collection, preprocessing, topic modeling using latent Dirichlet allocation, sentiment analysis via TextBlob and feature engineering through Term Frequency–Inverse Document...

..., which is insufficient for identifying personality. © Emerald Publishing Limited 2025 Emerald Publishing Limited Licensed re-use rights only Sentiment analysis Emotion lexicon Social media analysis NAYALex NLP Text mining NAYALex consists of three parts including preliminary...

... news. Sentiment analysis (SA) has gained prominence in the political domain for analyzing opinions and has been applied in various contexts, such as the Nigerian Presidential Election 2019 (Oyebode and Orji, 2019), the Indonesian Presidential Election (Budiharto and Meiliana, 2018), and the French...

... Day celebration through the analysis of social media messages. Design/methodology/approach To collect data from Twitter now which is known as “X”, this study used python computer programming language. Total 119,151 tweets were collected, and sentiment analysis was done based on the polarity score...

... © Emerald Publishing Limited 2024 Emerald Publishing Limited Licensed re-use rights only Bio-inspired algorithms Evolutionary algorithms Speech emotion recognition Sentiment analysis Nature-inspired optimization algorithms Feature engineering Bio-inspired computing Bio-inspired...

...Swagota Saikia; Vinit Kumar; Manoj Kumar Verma Purpose The purpose of this study was to perform sentiment analysis and analyze the growth and popularity of Drupal, Joomla and WordPress on YouTube over a four-year period. This included identifying the most liked and commented videos for each...