Bitcoin (BTC) Price movement and Volume Change relationship with the reddit user opinions
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Updated
May 27, 2024 - Python
Bitcoin (BTC) Price movement and Volume Change relationship with the reddit user opinions
Updated replacement for vader-sentiment (vaderSentiment-js) that runs original vaderSentiment natively, using CPython.
Popularity and Controversy: A Location-Based Event and Sentiment Analysis of Donald Trump and Boris Johnson
This repository contains the data and code for the sentiment analysis and topic modeling of tweets about ChatGPT cybersecurity.
Finance News Crawler uses News API to fetch some latest articles and generates a sentiment report with the OpenAI API or VADER
Fully autonomous and intelligent platform to detect, monitor and manage potholes issues. An end-to-end system with a PWA front-end for users to report potholes and government authorities to track and manage them.
Sentiment analysis of women's clothes reviews by using machine learning algorithms and Neural Networks (LSTM).
Sentiment Analysis of Lockdown in India During COVID-19:A Case Study on Twitter
This is a Natural Language Processing Project using VADER and ML model. Also using Flask.
- Sentiment Analysis classifier of amazon customer reviews
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.
Data Manipulation project with Python to scrape Facebook and Tesla news headlines, in conjunction with sentiment analysis using NLTK and VADER to generate investment insight.
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.
LeIA (Léxico para Inferência Adaptada) é um fork do léxico e ferramenta para análise de sentimentos VADER (Valence Aware Dictionary and sEntiment Reasoner) adaptado para textos em português.
This is a Python-based project that performs natural language proccessing to get sentiment analysis of Reddit comments using the Vader model and PRAW (Python Reddit API Wrapper) to get data from Reddit.
A quantitative study on over 1.25 million tweets about ChatGPT, employed data scrapping, data cleaning, EDA, topic modeling, and sentiment analysis.
Semester 8
A tweet sentiment analysis app using Node.js and vanilla JS.
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