GitHub topics: vadersentiment

Repositories

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: 6 days ago - Pushed at: 6 days 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: 65.7 MB - Last synced at: 9 days ago - Pushed at: 12 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: 3 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: 6 months ago - Pushed at: 6 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: 10 months ago - Pushed at: 10 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: about 1 month ago - Pushed at: 11 months 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: almost 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: 3 months ago - Pushed at: almost 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: almost 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: over 4 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 1 month 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