Sentiment Analysis and Topic Classification with LSTM Networks and TextRazor
J Jose, R Simritha - International Journal of Data Informatics and …, 2024 - ijdiic.com
In the ever-evolving landscape of social media, where user-generated content shapes
digital discourse, the need for nuanced sentiment analysis and topic extraction is …
digital discourse, the need for nuanced sentiment analysis and topic extraction is …
[PDF][PDF] A Hybrid Approach to Analyse the Public Sentiment on Covid-19 Tweets
Objectives: The objective of this study is to introduce a hybrid model for analyzing the people
sentiment on covid-19 tweets. Methods: We used a total no. of 27,500 datasets, 70% of the …
sentiment on covid-19 tweets. Methods: We used a total no. of 27,500 datasets, 70% of the …
[PDF][PDF] VulnerabilityMap: An Open Framework for Mapping Vulnerability among Urban Disadvantaged Populations in the United States
Cities are crucibles of numerous opportunities, but also hotbeds of inequality. The plight of
disadvantaged populations who are “left behind” within urban environments has been an …
disadvantaged populations who are “left behind” within urban environments has been an …