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JavaScript port of VADER sentiment analysis tool
Sentiment Analysis of tweets about car manufacturers. Complete Docker Pipeline with ETL job that is managed through Airflow.
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.
Twitter Sentiment Analysis Using Vader Lexicon and Random Forest Classifier
VaderSentiment is implementation of VADER sentiment analysis tool in Julia language.
This Python code retrieves thousands of tweets, classifies them using TextBlob and VADER in tandem, summarizes each classification using LexRank, Luhn, LSA, and LSA with stopwords, and then ranks stopwords-scrubbed keywords per classification.
This is a collection of Jupyter notebooks that use popular sentiment analysis Python libraries to analyze text.
anime quotes classification and sentiment analysis
Vanilla client-side version of Python's VADER sentiment snalysis tool
Prediction Stock price using News Sentiment and Other Major Index like S&P 500 and Nikkei 225 Index.
Sentiment Analysis and Word Count of Feedbacks using Apache Spark
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++.
Learning streamlit as a dashboard and viz tool for data science projects
Sentiment Analysis on Twitter Tweets.
Text mining and sentiment analysis.
An end to end app to predict what issue customers have being faced with by analyzing customer complaints.
Due to the size restriction the dataset file is unable to upload but you can simply download from kaggle.
Sentiment analysis on products reviews with Vader and Distilbert
Sentiment calculation assignment - on python runs on serverless
Updated replacement for vader-sentiment (vaderSentiment-js) that runs original vaderSentiment natively, using CPython.
A simple web app that determines whether a piece of code is positive,neutral or negative in mood using python
Flask backend for the winning app at the Exun 2022 Hackathon finals. Implements utility ML functions as an API for the mobile app.
This Project is part of my MSc. In Digital Marketing and Data Science Thesis at emlyon business school
Simple webapp that analyzes the sentiment of text files in a diary folder and visualizes the positivity and negativity trends over time.
Implementation of sentiment analysis on a dataset using the TextBlob and vaderSentiment libraries.
Materials for Sentiment Analysis with Python in "Taller en Data Science" by UCOM
Sentiment analysis of tweets using vaderSentiment, CountVectorizer and KMeans
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.
Social Media Sentiment Analysis