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This project extracts the latest tweets (containing particular hashtags) and analyses their sentiment (positive, negative or neutral). It then predicts the overall sentiment of the opinion people express on a particular matter.
Analysis of peoples satisfaction using sentiment analysis presents a comprehensive approach to gather and analyze sentiment from 1500 comments related to the "Lord of the Rings" series on YouTube.
Atomically Newspaper Scrapping Using Beautiful Soup. Only three Categories of news are scraped including national, international and latest. News Summarization, Text Classification, Sentimental Analysis, WordCloud and many more NLP stuff is included.
In this project I used textblob library in Python and tried to do some analysis on the text provided. I summerized the text, find out the sentiment and also point out the subjectivity of the text. I implemented a simple UI using HTML,CSS,JavaScript and also Flask as my API handling back end tool.
Repositório sobre a Dev Week iFood sobre uso de Python e Inteligência Artificial para realização de cálculo de NPS ( Net Promoter Score ) e a utilização de IA para análise de sentimentos dos comentários usando tecnologia do ChatGPT-4.
collection of Python scripts designed for scraping Twitter data, conducting sentiment analysis on tweets, retrieving stock market information, and more.
A methodology integrating web scraping and K-means clustering to systematically categorize and prioritize responses. Custom web scrapers extract com-ments from YouTube videos, overcoming limitations of traditional screen scraping. Sentiment analysis using TextBlob and HuggingFace provides in-sight into overall video sentiment.