A simple web app that determines whether a piece of code is positive,neutral or negative in mood using python
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Updated
Jul 2, 2020 - HTML
A simple web app that determines whether a piece of code is positive,neutral or negative in mood using python
Simple webapp that analyzes the sentiment of text files in a diary folder and visualizes the positivity and negativity trends over time.
Twitter Sentiment Analysis Using Vader Lexicon and Random Forest Classifier
Due to the size restriction the dataset file is unable to upload but you can simply download from kaggle.
This Project is part of my MSc. In Digital Marketing and Data Science Thesis at emlyon business school
Implementation of sentiment analysis on a dataset using the TextBlob and vaderSentiment libraries.
Flask backend for the winning app at the Exun 2022 Hackathon finals. Implements utility ML functions as an API for the mobile app.
Updated replacement for vader-sentiment (vaderSentiment-js) that runs original vaderSentiment natively, using CPython.
Social Media Sentiment Analysis
This is a collection of Jupyter notebooks that use popular sentiment analysis Python libraries to analyze text.
Sentiment Analysis and Word Count of Feedbacks using Apache Spark
anime quotes classification and sentiment analysis
Sentiment calculation assignment - on python runs on serverless
Vanilla client-side version of Python's VADER sentiment snalysis tool
VaderSentiment is implementation of VADER sentiment analysis tool in Julia language.
Sentiment analysis of tweets using vaderSentiment, CountVectorizer and KMeans
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++.
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