Sentiment analysis of comments, the user can get to know about the community acceptance of its channel/video based on that one can maintain their content quality.
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Updated
Jun 8, 2021 - Jupyter Notebook
Sentiment analysis of comments, the user can get to know about the community acceptance of its channel/video based on that one can maintain their content quality.
Perform sentimental analysis on the Elon-musk tweets and Extract reviews of any product from ecommerce website like amazon, Perform emotion mining.
This project performs sentiment analysis on Reddit comments related to the Israel-Palestine conflict.
An structured guide for NLP tool and libraries
Geographical Networks Project 2020-2021. Given the current situation, from the pandemic phenomenon of Covid-19, we want to carry out a project based on Sentiment Analysis through Twitter, to understand what the Italian population thinks about it, focusing on how it reacted following the various decisions governmental (dpcm, etc.).
SATVA is an advanced spam analysis tool integrating Spam Classification, NER Extraction, Sentiment Analysis, and Blacklisted URL Tagging. It offers Telegram bot integration and a Streamlit web application, providing detailed, AI-generated responses. Ideal for enhancing security and understanding message content with comprehensive analysis.
Snippit is a super simple Flask based web application that splits a large text file into blobs of `X` words each.
Streamlit app for exam answer evaluation and analysis
Youtube Text Analysis
This project involves building several tools to analyze webtoon content, perform sentiment analysis on user comments, and create a chatbot for interacting with content about "Castle Swimmer."
Twitter sentiment analysis and client for ELK Enterprise with Python.
Leveraging sentiment analysis and data augmentation to recreate recipe scoring algorithm with sparse data. Used MLPs and Gradient Boosting Regressors to compare regression metrics such as RMSE and MSE between raw data and raw data in conjunction with augmented data.
Sentiment analysis of a particular user
Scraped data from the website BooksAreMagic.com. Performed Exploratory Data Analysis using Tableau, Text Analysis using Python's libraries such as Natural Language ToolKit (NLTK), TextBlob etc. to gain meaningful insights on book reviews
Some mini projects using python with reference from Siraj Raval Youtube channel
Implementation of sentiment analysis on a dataset using the TextBlob and vaderSentiment libraries.
Practice Repository for Natural Language tasks!
Scripit using Python that extract Tweets related to the prime minister of India, "Narendra Modi" and get Insights about his popularity.
Sentiment analysis of Amazon product reviews. The analysis provides insights into customer sentiment and opinions regarding specific products sold on Amazon.
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