vader-sentiment-analysis

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value.

Java port of Python NLTK Vader Sentiment Analyzer. 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.

JavaScript port of VADER sentiment analysis tool

📷 An app to scrap instagram posts and analyze data.

This is our final year project. In this we are predicting election, results using Twitter Sentiment Analysis.

stock market predictions using sentiment analysis, a deep learning project(data and news based on pakistani stock exchange and news(Dawn news))

Application of LSTM on stock data with integration of news info. It turns out that finance and political news directly relate to the stock prices.

Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the performance of both lexicon & machine-learning based models

Reading the Twitterstream from the Twitter-API with Kafka and stream them into an Spark-Cluster to process it

Analyse sentiments of Instagram users based on their post captions

Sentiment analysis for tweets written in Portuguese-Brazil

A Discord sentiment analysis bot that encourages positivity and rewards server members for saying nice things :). Built using Node.js and Discord.js

Sentiment analysis using VADER in Scala

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

In this exercise I utilized Python libraries - pandas, numpy, matplotlib.pyplot, tweepy, seaborn, datetime, VADER - JSON traversals, and Twitter's API to perform a sentiment analysis on the news mood based on tweets from five different news organizations - BBC, CBS, CNN, Fox News, and New York times.

Detects bots from a small subset of Twitter accounts and classifies them as positive, negative or neutral by the sentiment of their tweets.

Ingest Plugin for VADER Sentiment Analysis

Jupyter Notebook with code to help scrape, analyze, organize, and save tweets in CSV files

A sentiment Analysis of News Channels Using Twitter

Twitter Sentiment Analysis or Opinion Mining using the NLTK Vader

This repository contains the relevant data and code to replicate the analysis and results reported in the paper "Using Twitter to Track Immigration Sentiment During Early Stages of the COVID-19 Pandemic"

Sentiment Analysis for Stock Prediction

Banglish -> Bangla (With avro phonetic) -> English (With textblob translator) -> Sentiment

Use NLP & Sentiment analysis in Python to determine the impact sentiment has on the price of Bitcoin

Sentiment Analysis of Youtube Video Comments using Youtube Data Api

This is my first machine learning project.

This repository contains the relevant data and code to replicate the analysis and results reported in the paper "Using Twitter Data to Monitor Immigration Sentiment", forthcoming in A practitioner Guide Book to be published by International Organization for Migration.

Byte sized analysis of Data Science Tweets

This is a trend trading indicator and alert that utilizes the Traders Dynamic Index (TDI), Price Action Channel (PAC) and Heikin Ashi candles.