Abstract: Product reviews are valuable sources of information in e-commerce, yet existing sentiment analysis models struggle to capture fine-grained opinions on specific product aspects, especially ...
Abstract: Social media platforms, particularly Twitter, have become vital sources for understanding public sentiment due to the rapid, large-scale generation of user opinions. Sentiment analysis of ...
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 ...
Abstract: Online product reviews provide valuable insights into customer sentiment toward products; however, they often contain multiple sentences with redundant and non-essential content, making it ...
A offensive language detection model for bangla social media content using Bangla BERT, and deploy it via FastAPI. Docker has been used in this project to ensure consistent, portable, and efficient ...
Abstract: A subscription movie streaming service from the United States, Netflix, has been present in Indonesia since 2016 and provides a wide variety of films without showing any single ...
Both values suggested that the model was able to achieve our objective. Using our approach, we identified that dissatisfaction is highest for sex-related diseases and lowest for circulatory diseases ...
Abstract: The rapid advancement of digital technologies has greatly impacted financial systems, creating challenges in accurately classifying currencies and detecting counterfeits in various ...
Abstract: To analyse social or political issues from a general perspective, online social networks provide quantitative measures of people's psychological behaviour. Research in this area of text ...
Abstract: In the digital era, the proliferation of online reviews through videos has been meteoric and driven by recent technological advancements. The sentiments expressed in these videos drive ...
Abstract: Analyzing blog content has become essential for comprehending new trends, user interaction, and public mood due to the exponential proliferation of online blogs. This study uses web-scraped ...
Abstract: In this work, a multilingual BERT (mBERT) model for sentiment analysis of text with mixed English and Hindi codes is presented. A common feature of casual communication, especially on ...
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