NLP project on "The Silmarillion" by J.R.R. Tolkien. Text and sentiment analyses using NLTK, VADER, Text Blob, and NRC Emotion Lexicon.

Scripit using Python that extract Tweets related to the prime minister of India, "Narendra Modi" and get Insights about his popularity.

An structured guide for NLP tool and libraries

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.

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

NLP project on "The Hobbit" by J.R.R. Tolkien. Text and sentiment analyses using NLTK, VADER, Text Blob, and NRC Emotion Lexicon.

Snippit is a super simple Flask based web application that splits a large text file into blobs of `X` words each.

Perform sentimental analysis on the Elon-musk tweets and Extract reviews of any product from ecommerce website like amazon, Perform emotion mining.

Twitter sentiment analysis and client for ELK Enterprise with Python.

Practice Repository for Natural Language tasks!

Youtube Text Analysis

This repository contains data science projects made by me ,projects are trained and experimented with different ML algorithm.Star this repo to know my upcoming DS projects

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.).

Sentiment analysis of a particular user

Sentiment analysis of Amazon product reviews. The analysis provides insights into customer sentiment and opinions regarding specific products sold on Amazon.

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.

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.