vader-sentiment-analysis
There are 6 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:Python 2082asad70 / reddit-sentiment-analysis
This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value.
Language:Python 244apanimesh061 / 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:Java 61AiCure / open_dbm
Tool for measurement of digital biomarkers from video or audio of an individual’s behavior.
Language:Python 60Sanghamitra1234 / Major-Project-2019
This is our final year project. In this we are predicting election, results using Twitter Sentiment Analysis.
Language:Python 36nimaeskandary / vaderSentiment-js
JavaScript port of VADER sentiment analysis tool
Language:JavaScript 34Praveen2812git / YoutubeCommentScrapingandAnalysis
Application made for youtube content creators to know their reviews separately as positive and negative comments.
Language:Python 25Prajwal10031999 / 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:Python 21jpmondoni / instagram_explorer
:camera: An app to scrap instagram posts and analyze data.
Language:Python 19rishikonapure / Cryptocurrency-Sentiment-Analysis
A Real-Time Cryptocurrency Price and Twitter Sentiments Analysis
Language:Jupyter Notebook 18aahouzi / Stock-price-forecasting
An overview of various quantitative techniques and trading strategies for predicting stock prices, based on historical data from YahooFinance.
Language:Jupyter Notebook 15KwokHing / 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
sentiment-analysissentiment-classificationdata-analysisnaive-bayes-classifiernaive-bayesrandom-forestdecision-treessvmsklearncross-validationvader-sentiment-analysislexicon-basedmachine-learningmachine-learning-algorithmssupervised-learningsupport-vector-machinessupervised-machine-learningbert-modeldeep-learninglstm-sentiment-analysisLanguage:Jupyter Notebook 15myounus96 / 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 Notebook 14Alro10 / twitter-sentiment-live
Sentiment analysis for tweets written in Portuguese-Brazil
Language:Python 12ajyuan / 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:JavaScript 10ksaravan910 / 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:Python 10- 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:Python 9 namas191297 / instaknow_backend
Analyse sentiments of Instagram users based on their post captions
Language:Python 9asaficontact / 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.
neural-networkssentiment-analysistf-idfcosine-similarityvader-sentiment-analysistextblob-sentiment-analysisobject-oriented-programmingexchange-ratesexchange-rates-forecastingfinancial-econometricsfinancial-economicsasset-pricingforexforex-predictioncarry-tradeshinyappslatexsupport-vector-machinesprincipal-component-analysisnews-articlesLanguage:TeX 8BenSchr / Twitterstream-Sentiment-Analysis
Reading the Twitterstream from the Twitter-API with Kafka and stream them into an Spark-Cluster to process it
Language:Python 8bugthesystem / Sentiment
Sentiment analysis using VADER in Scala
Language:Scala 8Dkreitzer / Twitter_Scraping_and_Saving
Jupyter Notebook with code to help scrape, analyze, organize, and save tweets in CSV files
Language:Jupyter Notebook 8minas26902 / 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 Notebook 8ramtiin / 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 Notebook 8aravindvnair99 / 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:HTML 7justinhchae / stocks
Sentiment Analysis for Stock Prediction
Language:Python 7NemesLaszlo / 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 Notebook 7Yukigeshiki / sentiment-analysis-cli-rust
A CLI tool to perform simple sentiment analysis written in Rust, using a Rust port of VADER.
Language:Rust 7aksharbarchha / Only-for-Youtubers
Sentiment Analysis of Youtube Video Comments using Youtube Data Api
Language:Python 6Ingest Plugin for VADER Sentiment Analysis
Language:Java 6Athiban-32 / twitter-sentiment-analysis
Sentiment Analysis of Lockdown in India During COVID-19:A Case Study on Twitter
Language:Jupyter Notebook 6fcorowe / 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 Notebook 6knuppe / vader
A powerful golang re-implementation of the VADER (Valence Aware Dictionary and sEntiment Reasoner) for sentiment analysis.
Language:Go 6rahatzamancse / Bangla-or-Banglish-or-English-Sentiment-Analysis-with-English-translation
Banglish -> Bangla (With avro phonetic) -> English (With textblob translator) -> Sentiment
Language:Python 6simwai / 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:JavaScript 6vst17 / News_Analysis
A sentiment Analysis of News Channels Using Twitter
Language:Jupyter Notebook 6