A machine learning end to end flask web app for sentiment analysis model created using Scikit-learn & VADER Sentiment.

A simple application is developed to get feedback from a user and analyzing the text to predict the sentiment.

VaderSentiment is implementation of VADER sentiment analysis tool in Julia language.

Text Mining project about Sentiment Analysis of Drugs Reviews.

Topic Modelling & Sentiment Analysis of Data Science Subreddit

Semester 8

US Airlines Tweets Sentiment Analysis through VADER Lexicon, TextBlob, ML Models & Word Embeddings

A basic NLP project on musical instruments reviews on Amazon.

Sentiment Analysis Using VADER (Valence Aware Dictionary and sEntiment Reasoner) and C#

HackerEarth Machine Learning challenge: Love is love competition submission [Position: 31st]

Get Powerful quotes on your phone or pc!!! NLP WEB APP

Instagram and Threads are two major social media platforms that are widely used worldwide. Considering the prevalence of social media in today's world, the sentiment surrounding such platforms is of relevance when studying societal trends and patterns.

Graphical User Interface (GUI) for Sentiment Analysis using VADER (Valence Aware Dictionary and sEntiment Reasoner)

Sentiment Analysis using VADER. Implemented in AngularJS (1.6)

Implementing text mining for sentiment analysis of Indonesian public opinion on Twitter using Naive Bayes and Support Vector Machine (SVM) text classification.

Produces an avatar image of your Melodic Soul based on your Spotify listening history, music tastes and lyrical sentiment.

VADER Sentiment Analysis Tool with C++. Valence Aware Dictionary and sEntiment Reasoner (VADER) is a lexicon and rule-based sentiment tool designed to measure sentiment of text from social media. Originally written in Python, this is a port to C++.

Analysing user experience on Alibaba, Amazon, Flipkart, Nyakaa and Shopify app on Google Play Store

Simple Python Reddit Scraper using comments to form sentiments on Reddit comments