vader-sentiment-analysis
There are 7 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 2342asad70 / 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 271AiCure / open_dbm
Tool for measurement of digital biomarkers from video or audio of an individual’s behavior.
Language:Python 67apanimesh061 / 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 64Sanghamitra1234 / Major-Project-2019
This is our final year project. In this we are predicting election, results using Twitter Sentiment Analysis.
Language:Python 42nimaeskandary / vaderSentiment-js
JavaScript port of VADER sentiment analysis tool
Language:JavaScript 36rishikonapure / Cryptocurrency-Sentiment-Analysis
A Real-Time Cryptocurrency Price and Twitter Sentiments Analysis
Language:Jupyter Notebook 36Praveen2812git / YoutubeCommentScrapingandAnalysis
Application made for youtube content creators to know their reviews separately as positive and negative comments.
Language:Python 33Prajwal10031999 / 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 26jpmondoni / instagram_explorer
:camera: An app to scrap instagram posts and analyze data.
Language:Python 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 17AtharvaMutsaddi / 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:Python 16myounus96 / 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 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
bert-modelcross-validationdata-analysisdecision-treesdeep-learninglexicon-basedlstm-sentiment-analysismachine-learningmachine-learning-algorithmsnaive-bayesnaive-bayes-classifierrandom-forestsentiment-analysissentiment-classificationsklearnsupervised-learningsupervised-machine-learningsupport-vector-machinessvmvader-sentiment-analysisLanguage:Jupyter Notebook 14ajyuan / 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 12Alro10 / twitter-sentiment-live
Sentiment analysis for tweets written in Portuguese-Brazil
Language:Python 12- 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 11 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:JavaScript 11asaficontact / 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 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 10bugthesystem / Sentiment
Sentiment analysis using VADER in Scala
Language:Scala 9knuppe / vader
A powerful golang re-implementation of the VADER (Valence Aware Dictionary and sEntiment Reasoner) for sentiment analysis.
Language:Go 9namas191297 / instaknow_backend
Analyse sentiments of Instagram users based on their post captions
Language:Python 9NemesLaszlo / 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 9ramtiin / 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 9AmishaMurarka / 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 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 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 8Dkreitzer / Twitter_Scraping_and_Saving
Jupyter Notebook with code to help scrape, analyze, organize, and save tweets in CSV files
Language:Jupyter Notebook 8justinhchae / stocks
Sentiment Analysis for Stock Prediction
Language:Python 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 8Yukigeshiki / sentiment-analysis-cli-rust
A CLI tool to perform simple sentiment analysis written in Rust, using a Rust port of VADER.
Language:Rust 8aksharbarchha / Only-for-Youtubers
Sentiment Analysis of Youtube Video Comments using Youtube Data Api
Language:Python 7fcorowe / 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 7Athiban-32 / twitter-sentiment-analysis
Sentiment Analysis of Lockdown in India During COVID-19:A Case Study on Twitter
Language:Jupyter Notebook 6Sam120204 / 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:Python 6