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PythonのDjangoフレムワークを使用して、Twitterとウエブからのライブデータを分析すること、分析データをチャートで分かり易くするアップリです。。 人々の間での製品のリーチやトレンドを理解するのに役立ちます。The Web Application is made using Django and is used to analyse the current trends of any "Search Term" by streaming Live data from Twitter as well as the World Wide Web. It is useful in understanding the reach or the trends of any produ…
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.
A comparasion between TextBlob library's sentiment analysis method and nltk's vaderSentiment Analysis method. Used movie review dataset which comes with nltk module.
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.
Determines % of Disney Land reviews where the num of stars corresponds with the sentiment of the text in their review. Assigns a rating (positive, neutral, negative) based on num of stars, and then based on polarity of review using TextBlob's sentiment analysis. Outputs tables and chart showing % of reviews whose star rating = polarity sentiment
This Streamlit app enables users to input a Wikipedia page URL for content, summary, images, references, top 10 words, and sentiment analysis, presenting concise insights with visual elements.