Abstract: This research focuses on the role of Natural Language Processing in extracting, analysing, and interpreting textual data to identify sentiment and emotional patterns from tweets. NLP ...
In today's hyperconnected world, social media has become a critical channel for businesses to understand consumers. While ...
Abstract: Sentiment Analysis is the field of study that examines people’s opinions, sentiments, valuations, appraisals, and attitudes and emotions from written language. It is one of the most active ...
The use of modern technologies, including Immersive Mixed Reality (IMR) technologies, to present information on climate change has become essential due to their ability to simplify information and ...
This project develops a web application for real-time sentiment analysis of Twitter streams using Apache Kafka and machine learning models. The application categorizes each tweet as Negative, Positive ...