Sentiment Analysis for Comments using reusable libraries
by Nathina 
Updated: Sep 20, 2021
Solution Kit
A sentiment analysis system examines comments and gives ratings based on their sentiments. The main objective of this system is to understand customer comments and uncover the hidden sentiment of customer feedback. Based on the sentiment analysis system, the product comments will be ranked according to the comments of various users. The system analyzes the comment and then finds the keywords to match with the keywords stored in the database. It can be set up in the following libraries. By analyzing a keyword, a product is rated as either good, bad, or very bad. Following are the steps to be followed for building sentiment analysis, 1. Analyzing the Comments 2. Classify the Words 3. Rating the Comments 4. Language Classification Database
Classify the Words
These libraries are used to classify the words in the comments.
ml-classify-text-jsby andreekeberg
45 Version:2.0.0Machine learning based text classification in JavaScript using n-grams and cosine similarity
ml-classify-text-jsby andreekeberg
JavaScript 45 Version:2.0.0 License: Permissive (MIT)
PTE2ASCby jjwangnlp
7 Version:Currentword embedding resources for sentiment classification
PTE2ASCby jjwangnlp
Python 7 Version:Current License: Permissive (MIT)
Language Classification Database
These libraries are used to classify the different language.
nlp.jsby axa-group
5484 Version:4.14.2An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
nlp.jsby axa-group
JavaScript 5484 Version:4.14.2 License: Permissive (MIT)
Rating the Comments
These libraries are used to rating the comments.
analyzing-reddit-sentiment-with-awsby aws-samples
26 Version:CurrentLearn how to use Kinesis Firehose, AWS Glue, S3, and Amazon Athena by streaming and analyzing reddit comments in realtime. 100-200 level tutorial.
analyzing-reddit-sentiment-with-awsby aws-samples
Python 26 Version:Current License: Others (Non-SPDX)
sentiment-thermometerby isfonzar
56 Version:v1.0Measure the sentiment towards a word, name or sentence on social networks
sentiment-thermometerby isfonzar
PHP 56 Version:v1.0 License: Permissive (MIT)
wink-sentimentby winkjs
45 Version:CurrentAccurate and fast sentiment scoring of phrases with #hashtags, emoticons :) & emojis 🎉
wink-sentimentby winkjs
JavaScript 45 Version:Current License: Permissive (MIT)
product-ratingby sahirzm
1 Version:CurrentApplication to find ratings for products using public feeds from facebook and twitter using machine learning algorithms and sentiment analysis
product-ratingby sahirzm
JavaScript 1 Version:Current License: Strong Copyleft (GPL-2.0)
hepsiburada-review-scraperby 0x01h
23 Version:v1.0.0Hepsiburada review/comment and rating scraper. Turkish text dataset creator for data science and NLP projects. 📜
hepsiburada-review-scraperby 0x01h
Python 23 Version:v1.0.0 License: Strong Copyleft (GPL-3.0)
Analysing The Comments
These libraries are used to Analyses the customer comments.
sentimentby thisandagain
2561 Version:v0.2.1AFINN-based sentiment analysis for Node.js.
sentimentby thisandagain
JavaScript 2561 Version:v0.2.1 License: Permissive (MIT)
lorcaby dmarman
81 Version:CurrentNatural Language Processing for Spanish in Node.js. Stemmer, sentiment analysis, readability, tf-idf with batteries, concordance and more!
lorcaby dmarman
JavaScript 81 Version:Current License: Permissive (MIT)
php-sentiment-analyzerby davmixcool
68 Version:1.2.2PHP Sentiment Analyzer is a lexicon and rule-based sentiment analysis tool that is used to understand sentiments in a sentence using VADER (Valence Aware Dictionary and sentiment Reasoner).
php-sentiment-analyzerby davmixcool
PHP 68 Version:1.2.2 License: Permissive (MIT)
0 Version:CurrentComputes and visualizes the sentiment analysis of tweets of US States in real-time using Storm.
StormTweetsSentimentD3Vizby P7h
Java 0 Version:Current License: Others (Non-SPDX)
Tisane APIby Tisane_Labs
0 Version:CurrentDetect abusive textual content and granular sentiment in 27 languages
Tisane APIby Tisane_Labs
Cloud API 0 Version:Current License: Others (SaaS)
twitter-nlpby crawles
36 Version:CurrentA web application for real-time machine learning and sentiment analysis on Tweets
twitter-nlpby crawles
JavaScript 36 Version:Current License: Permissive (MIT)
TweetMapby zmyzheng
39 Version:v2.0.0A real time Tweet Trend Map and Sentiment Analysis web application with kafka, Angular, Spring Boot, Flink, Elasticsearch, Kibana, Docker and Kubernetes deployed on the cloud
TweetMapby zmyzheng
Java 39 Version:v2.0.0 License: Permissive (Apache-2.0)
Client-Sentiment-Analyzerby cjaca
13 Version:Current📱 iOS APP that checks client sentiment based on Amazon product review using SwiftUI, Core ML, Create ML
Client-Sentiment-Analyzerby cjaca
Swift 13 Version:Current License: Permissive (MIT)
PHP-Sentiment-Analyzerby Samshal
21 Version:CurrentThis package is an implementation of the Naive Bayes Algorithm To Determine the sentiment of a particular statement, a book review, chat, speech and so on. It marks a sentence as positive, negative or neutral depending on the kind of words that are used, this can help in automatically selecting a review, comment or chat that has the best intentions in any situation.
PHP-Sentiment-Analyzerby Samshal
PHP 21 Version:Current License: Strong Copyleft (GPL-2.0)
Aspect-Based-Sentiment-Analysisby pranithkumar
1 Version:CurrentReal Time Dynamic Aspect Based Sentiment Analysis with efficient Cache Management on Consumer Products
Aspect-Based-Sentiment-Analysisby pranithkumar
JavaScript 1 Version:Current License: Permissive (MIT)
wp-kenzyaiby jasonjersey
2 Version:1.0.2A Free Comment Sentiment Analysis for WordPress Powered by A.I.
wp-kenzyaiby jasonjersey
PHP 2 Version:1.0.2 License: Strong Copyleft (GPL-2.0)
qPoliticalSentimentAnalysisby shahrzl
5 Version:Currentq/kdb+ Political Sentiment Analysis on Facebook Comments using Boosting Algorithm.
qPoliticalSentimentAnalysisby shahrzl
Java 5 Version:Current License: Permissive (MIT)
YouTube-Comments-Analyzerby charlie-jones
7 Version:CurrentSentiment analysis on YouTube comments as chrome extension.
YouTube-Comments-Analyzerby charlie-jones
JavaScript 7 Version:Current License: Permissive (MIT)
japanese_sentimentby Darkmap
8 Version:CurrentIt's a sentiment analysis system for Japanese customer reviews.
japanese_sentimentby Darkmap
Python 8 Version:Current License: Strong Copyleft (GPL-3.0)
sentiment-analysisby pranitbose
10 Version:CurrentSentiment Analysis of product based reviews using Machine Learning Approaches. This is my Final Year B.Tech Project, 2018.
sentiment-analysisby pranitbose
Python 10 Version:Current License: Permissive (MIT)