In today's hyperconnected world, social media has become a critical channel for businesses to understand consumers. While ...
Abstract: This study addresses the unique challenges of sentiment analysis in Chinese massive open online course (MOOC) reviews, where pedagogically embedded language, intra-sentence sentiment shifts, ...
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 ...
As many market participants anticipate a year-end rally, there are mounting indications that such an outcome is far from assured. Investor positioning appears increasingly stretched, with multiple ...
Abstract: Accurately extracting sentiment and semantic information from long-text online reviews has significant application value. To address sentiment analysis in long-text online reviews, this ...
ThinkNLP is an educational web application designed to help beginners in Natural Language Processing (NLP) understand the full pipeline of sentiment and topic analysis using real-world review data. It ...