vader-sentiment-analysis

There are 426 repositories under vader-sentiment-analysis topic.

  • shirosaidev/stocksight

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

    Language:Python2.3k10931482

  • asad70/reddit-sentiment-analysis

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

    Language:Python2719198

  • AiCure/open_dbm

    Tool for measurement of digital biomarkers from video or audio of an individual’s behavior.

    Language:Python6782727

  • apanimesh061/VaderSentimentJava

    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.

    Language:Java636829

  • Sanghamitra1234/Major-Project-2019

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

    Language:Python444011

  • rishikonapure/Cryptocurrency-Sentiment-Analysis

    A Real-Time Cryptocurrency Price and Twitter Sentiments Analysis

    Language:Jupyter Notebook41213

  • nimaeskandary/vaderSentiment-js

    JavaScript port of VADER sentiment analysis tool

    Language:JavaScript372221

  • Praveen2812git/YoutubeCommentScrapingandAnalysis

    Application made for youtube content creators to know their reviews separately as positive and negative comments.

    Language:Python342014

  • Prajwal10031999/Sentiment-Analysis-ML-Flask-App

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

    Language:Python271124

  • AtharvaMutsaddi/Reddit-Post-Comments-Sentiment-Analysis-with-Webscraping

    A web application that allows users to scrape comments from a Reddit post, perform sentiment analysis on them, and provide data analytics in the form of bar graphs and pie charts. The app aims to provide insights into the sentiment distribution of comments and offer a filtered view of comments based on their sentiment.

    Language:Python20100

  • jpmondoni/instagram_explorer

    :camera: An app to scrap instagram posts and analyze data.

    Language:Python18215

  • aahouzi/Stock-price-forecasting

    An overview of various quantitative techniques and trading strategies for predicting stock prices, based on historical data from YahooFinance.

    Language:Jupyter Notebook17002

  • nakuleshj/news-nlp-pipeline

    A fully serverless, event-driven data pipeline that ingests, enriches, validates, and visualizes real-time news data using AWS services. Designed for cost-efficient, scalable deployment using only free-tier AWS services.

    Language:Python16

  • myounus96/stock-market-prediction-using-sentiment-analysis

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

    Language:Jupyter Notebook151020

  • KwokHing/SentimentAnalysis-Python-Demo

    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

    Language:Jupyter Notebook143011

  • ajyuan/Monitori

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

    Language:JavaScript12003

  • Alro10/twitter-sentiment-live

    Sentiment analysis for tweets written in Portuguese-Brazil

    Language:Python12214
  • MOVING-AVERAGE-CONVERGENCE-DIVERGENCE-MACD-TDI-PAC-Heikin-Ashi-v.2.5-beta5

    0xeth-drc-888/MOVING-AVERAGE-CONVERGENCE-DIVERGENCE-MACD-TDI-PAC-Heikin-Ashi-v.2.5-beta5

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

    Language:Python11116

  • simwai/finance-news-crawler

    Finance News Crawler uses News API to fetch some latest articles and generates a sentiment report with the OpenAI API or VADER

    Language:JavaScript11103

  • asaficontact/learning_to_beat_the_random_walk

    In this project, I explore various machine learning techniques including Principal Component Analysis (PCA), Support Vector Machines (SVM), Artificial Neural Networks (ANN), and Sentiment Analysis in an effort to predict the directional changes in exchange rates for a list of developed and developing countries.

    Language:TeX102010

  • ksaravan910/TwitterBotDetectionAndClassification

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

    Language:Python10101

  • AmishaMurarka/Sentiment-Analysis-of-Song-Lyrics

    Music is a powerful language to express our feelings and in many cases is used as a therapy to deal with tough moments in our lives or as a tool to celebrate the joyous moments. The different sounds, rhythms, and effects used in music are capable to modify our emotions for a moment, but there’s a component that sometimes goes unnoticed when we are listening to music; The Lyrics of the songs. Lyrics are powerful texts that share the ideas that came from the mind of the author when the song was been created.

    Language:Jupyter Notebook9103

  • bugthesystem/Sentiment

    Sentiment analysis using VADER in Scala

    Language:Scala9104

  • knuppe/vader

    A powerful golang re-implementation of the VADER (Valence Aware Dictionary and sEntiment Reasoner) for sentiment analysis.

    Language:Go9221

  • minas26902/NewsSentimentAnalysis

    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.

    Language:Jupyter Notebook9102

  • namas191297/instaknow_backend

    Analyse sentiments of Instagram users based on their post captions

    Language:Python9202

  • NemesLaszlo/Sentiment-Analysis-and-Stock-Values

    Sentiment analysis of economic news headlines and examining their effects on stock market changes without the full article or analysis. Awareness and click generation are important roles for business news headlines as well. The effect can be demonstrated.

    Language:Jupyter Notebook9127

  • ramtiin/Predicting-YouTube-Dislikes-using-Machine-Learning

    I used Catboost for training a model on the numerical features of every YouTube video (e.g., the number of views, comments, likes, etc.) along with sentiment analysis of the video descriptions and comments using the VADER sentiment analysis model.

    Language:Jupyter Notebook9100

  • aravindvnair99/Spot-the-Hole

    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.

    Language:HTML83114

  • BenSchr/Twitterstream-Sentiment-Analysis

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

    Language:Python8104

  • Dkreitzer/Twitter_Scraping_and_Saving

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

    Language:Jupyter Notebook8017

  • justinhchae/stocks

    Sentiment Analysis for Stock Prediction

    Language:Python8114

  • Yukigeshiki/sentiment-analysis-cli-rust

    A CLI tool to perform simple sentiment analysis written in Rust, using a Rust port of VADER.

    Language:Rust8101

  • fcorowe/stigma_covid

    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"

    Language:Jupyter Notebook7101

  • JianLoong/sentimentanalysis

    Sentiment Analysis in Javascript using the various lexicons including AFINN-165, VADER, NRC Word-Emotion Association, Bing and Loughran-McDonald

    Language:JavaScript7211

  • Sam120204/Fin4All

    Fin4All is an all-in-one investment assistant that democratizes access to real-time stock analysis, sentiment-driven insights, and personalized investment recommendations for investors of all experience levels.

    Language:Python7102