GitHub topics: vadersentiment
Rfldmr/akademi-crypto-app-sentiment-analysis
To find out the sentiment of the users of the "Akademi Crypto" app, I conducted a sentiment analysis of user reviews with data from the Google Playstore. With the help of various visualizations such as WordCloud, Donut Plot, Bar Chart, and others, useful insights can be displayed for app developers.
Language: Jupyter Notebook - Size: 1.61 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

SahilSingh-15/Sentiment-Analysis-App
A Sentiment Analysis App built using Random Forest Classifier and also using TextBlob and Vandar Libraries .
Language: Jupyter Notebook - Size: 4.24 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

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: HTML - Size: 65.2 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 8 - Forks: 4

AmirhosseinDotZip/sentinalysis
This is a collection of Jupyter notebooks that use popular sentiment analysis Python libraries to analyze text.
Language: Jupyter Notebook - Size: 1.12 MB - Last synced at: 4 months ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0

fa12hovo/Sentiment_Analysis
Can we identify any religious or racial bias? Examining the 'Mass shooting in the USA' using media discourse: Frequency Distribution and Sentiment Analysis.
Language: Jupyter Notebook - Size: 712 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

BlueFlame202/vader-cpp
VADER Sentiment Analysis Tool with C++. Valence Aware Dictionary and sEntiment Reasoner (VADER) is a lexicon and rule-based sentiment tool designed to measure sentiment of text from social media. Originally written in Python, this is a port to C++.
Language: C++ - Size: 544 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

Maxim-Mazurok/vader-sentiment-cpython
Updated replacement for vader-sentiment (vaderSentiment-js) that runs original vaderSentiment natively, using CPython.
Language: C++ - Size: 6.22 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

dennisrodman91/Anime-Quotes-Classification-and-Sentiment-Analysis
anime quotes classification and sentiment analysis
Language: Jupyter Notebook - Size: 231 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

pierogio/Text_mining
Text mining and sentiment analysis.
Language: Jupyter Notebook - Size: 94.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

agushendra7/twitter-sentiment-analysis-using-vader-and-random-forest
Twitter Sentiment Analysis Using Vader Lexicon and Random Forest Classifier
Language: Jupyter Notebook - Size: 11.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

LucyCo/comment-analyst
Sentiment calculation assignment - on python runs on serverless
Language: Python - Size: 3.65 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

Logahn/sentiment-analysis
Implementation of sentiment analysis on a dataset using the TextBlob and vaderSentiment libraries.
Language: Python - Size: 553 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

brgE-93/DistilBert_review
Sentiment analysis on products reviews with Vader and Distilbert
Language: Jupyter Notebook - Size: 7.28 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

angeljmercado/sentiment-text-analysis
Simple webapp that analyzes the sentiment of text files in a diary folder and visualizes the positivity and negativity trends over time.
Language: Python - Size: 0 Bytes - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

nimaeskandary/vaderSentiment-js
JavaScript port of VADER sentiment analysis tool
Language: JavaScript - Size: 240 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 30 - Forks: 22

nusretipek/VaderSentiment.jl
VaderSentiment is implementation of VADER sentiment analysis tool in Julia language.
Language: Julia - Size: 146 KB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 0

tsrsmict/exun-2022-finals-backend
Flask backend for the winning app at the Exun 2022 Hackathon finals. Implements utility ML functions as an API for the mobile app.
Language: Python - Size: 3.85 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

greymattersblog/VADERSentiment
Vanilla client-side version of Python's VADER sentiment snalysis tool
Language: JavaScript - Size: 43.9 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

prabhate/Sentiment-Analysis-with-VADER
A simple web app that determines whether a piece of code is positive,neutral or negative in mood using python
Language: HTML - Size: 267 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

senzelden/twitter_data_pipeline
Sentiment Analysis of tweets about car manufacturers. Complete Docker Pipeline with ETL job that is managed through Airflow.
Language: Python - Size: 10.5 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 0

PROxZIMA/Twitter-Sentiment-Analysis
Sentiment analysis of tweets using vaderSentiment, CountVectorizer and KMeans
Language: Jupyter Notebook - Size: 162 KB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

SanjayShetty01/PredictingOpeningPriceNifty50
Prediction Stock price using News Sentiment and Other Major Index like S&P 500 and Nikkei 225 Index.
Language: Jupyter Notebook - Size: 19.3 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

Luisarg03/Flask-ElasticSearch-Vader
Language: HTML - Size: 572 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

ADI-KOTKAR/Feedback_Analyzer
Sentiment Analysis and Word Count of Feedbacks using Apache Spark
Language: Python - Size: 75.2 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

sinha-debojyoti/WEB-BASED-VADER-SENTIMENT-ANALYZER
WEB based sentiment analyzer which predicts positive, neutral and negative emotion sentence and creates a MySQL database to store the result using FLASK, PYTHON, VADER, JAVASCRIPT, BOOTSTRAP, JAVASCRIPT.
Language: HTML - Size: 92.8 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

KimaruThagna/DataScience-Dashboard
Learning streamlit as a dashboard and viz tool for data science projects
Language: Python - Size: 907 KB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

shrawantee/Vader-Sentiment-Analysis-Social-Analytics
Language: Jupyter Notebook - Size: 418 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

stefan-stein/WorldWideVibes
Social Media Sentiment Analysis
Language: HTML - Size: 2.12 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

arianeborges/sentiment-analysis-with-python
Language: Python - Size: 5.65 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

mdleiton/AED
Repositorio del proyecto de la materia de Análisis exploratorio de datos
Language: Jupyter Notebook - Size: 270 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

mmaguero/sentimentAnalysisWithPython
Materials for Sentiment Analysis with Python in "Taller en Data Science" by UCOM
Language: Python - Size: 1.34 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 1

yongjinjiang/Social-Analytics
Language: Jupyter Notebook - Size: 2.26 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0
