Text mining and word analysis

Simple Lord Vader 404 Page

Materials for Sentiment Analysis with Python in "Taller en Data Science" by UCOM

Analyze Tweets Sentiment Using NLP

Vader

This project is about how we analyze sentiment of the written text/sentence

A test sentiment analyzer using VADER library

- Sentiment Analysis classifier of amazon customer reviews

VADER takes a traditional sentiment analysis approach using a pre-built lexicon scoring while taking into account negation and intensity; however, it is only limited to the provided lexicon. RoBERTa on the other hand is state of art transformer-based language model that has high performance with the ability to analyze contextual information.

This Python script is designed for algorithmic traders

This is a Natural Language Processing Project using VADER and ML model. Also using Flask.

Popularity and Controversy: A Location-Based Event and Sentiment Analysis of Donald Trump and Boris Johnson

Updated replacement for vader-sentiment (vaderSentiment-js) that runs original vaderSentiment natively, using CPython.

Sentiment analysis of the Twitter activity of various news outlets using VADER (Valence Aware Dictionary for sEntiment Reasoning).

Demo of vaderSentiment-js in Nuxt. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

Uses NLP to determine the sentiment of any Youtube video + more

ASA takes a csv file from the user as an input and assigns a sentiment label to each row.

Sentiment Analysis using nltk vader package - Rule based classifier