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.

Semester 8

A basic NLP project on musical instruments reviews on Amazon.

Topic Modelling & Sentiment Analysis of Data Science Subreddit

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

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.

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

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

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

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

Sentiment Analysis using VADER. Implemented in AngularJS (1.6)

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

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++.

NLP-based Fake News Detection using NER, sentiment analysis, topic modeling, and ML classifiers.

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

PDF Sentiment Analyzer is a simple web application that allows users to upload earnings call PDF files and get sentiment scores along with a sentiment analysis graph. The application uses Flask for the backend, NLTK's VADER for sentiment analysis, and Matplotlib for plotting the results.