textblob-sentiment-analysis | Topic

Topic: "textblob-sentiment-analysis"

sraboni-bhuiyan/sentiment-analysis

Analysis of peoples satisfaction using sentiment analysis presents a comprehensive approach to gather and analyze sentiment from 1500 comments related to the "Lord of the Rings" series on YouTube.

Size: 6.84 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

yaminibhole/Social_Media_Sentiment_Analysis

Social Media Sentiment Analysis: Analyze and visualize sentiment patterns in social media data to gain insights into public opinion on specific topics or brands. This project uses Python scripts to uncover sentiments, offering bar plots for sentiment distribution and word clouds for visual representation.

Language: Jupyter Notebook - Size: 301 KB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ashwinijujare/App_Review_Sentiment_Analysis_using_Python

App Review Sentiment Analysis using Python and exploring libraries like wordcloud and textblob. Originally by Aman Kharwal

Language: Jupyter Notebook - Size: 846 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ybotf/Subject-Sentiment-Analysis

This is a simple Python script that utilizes the PRAW library to scrape comments from a specified subreddit on Reddit, analyzes the sentiment of the comments using both TextBlob and VADER (NLTK's sentiment analysis tool)

Language: Python - Size: 6.84 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Adeyemi0/Uber-Quality-of-Service

Delivered a valuable assessment of UberEats' service quality by analyzing customer feedback shared on Twitter.

Language: Jupyter Notebook - Size: 2.75 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Mgarg95/Sentiment-Analysis-on-Russia-Ukraine-War-Tweets

Tweets about the Russia - Ukraine War are gathered and cleaned. Then the polarity scores of tweets are calculated and using those, tweets are classified as positive, negative and neutral.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mickdif/Tesi

Progetto di tesi: rete LSTM multivariata con sentiment analysis per la previsione dei titoli in borsa

Language: Python - Size: 489 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

RIZWAN-VY/Sentiment_Analysis_of_Tweets

Twitter Sentimental analysis using python

Language: Python - Size: 286 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

AngelChangLiu/CarEnvision

CarEnvision is a machine-learning program that inputs a car's brand, model, and the year the user wants to predict the price in. The output consists of the predicted price.

Language: HTML - Size: 1.56 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

elizageswein/Disney-Land-Review-Analysis

Determines % of Disney Land reviews where the num of stars corresponds with the sentiment of the text in their review. Assigns a rating (positive, neutral, negative) based on num of stars, and then based on polarity of review using TextBlob's sentiment analysis. Outputs tables and chart showing % of reviews whose star rating = polarity sentiment

Language: Python - Size: 10.8 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

gideon-ogunbanjo/FeelFlare

FeelFlare - Sentiment Analysis Model

Language: Python - Size: 10.7 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

nali2011/twitter_sentiment_analysis

This project evaluates the efficiency and efficacy of sentiment analysis libraries (TextBlob, NLTK, CoreNLP, Stanza) for sentiment analysis of the Turkey earthquake. It aims to uncover insights into their performance and effectiveness in extracting sentiments from the extensive social media data related to the event.

Language: Jupyter Notebook - Size: 120 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

AmirTyper/Sentiment-Analysis-Tool

This project provides a simple script for determining the sentiment of a text input using TextBlob library in Python. It also returns the most positive and most negative sentence in the input text. The script can be used as a standalone tool or integrated into other projects.

Language: Python - Size: 67.4 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

sidattam/netflix-sentiment-analysis

Netflix Sentiment Analysis using Twitter Data

Language: Jupyter Notebook - Size: 257 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

MHassaanButt/newspaper-scraping

Atomically Newspaper Scrapping Using Beautiful Soup. Only three Categories of news are scraped including national, international and latest. News Summarization, Text Classification, Sentimental Analysis, WordCloud and many more NLP stuff is included.

Language: Python - Size: 2.6 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Shivani0599/ShinjoZone

This repository is based on the Sentiment Analysis of Covid19 tweets. Tweets are extracted from twitter as datas using API keys from twitter.developer.com website.These datas are analysed using TextBlob and visualization plots are drawn using seaborn, matplotlib and bokeh model. These visualization plots are shown in the website with extra features like Chatbot to guide about covid19 pandemic,helpline to to contact and also know about the symptoms and prevention of Covid19. The news page gives the latest news on covid19 and also the overall stats.

Language: Jupyter Notebook - Size: 5.03 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Meet-Turakhia/Twitter_Sentimental_Analysis

💭 Analyzed tweets to extract polarity and subjectivity, to understand the sentiments of the tweeter.

Language: Jupyter Notebook - Size: 162 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

josepaulosa/Lexicon_Based_Sentiment_Analyzers

Two lexicon-based sentiment analyzers: TextBlob and Vader.

Language: Jupyter Notebook - Size: 384 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

Rajat-Dhanuka/Twitter-Sentiment-Analysis-using-Textblob

This project extracts the latest tweets (containing particular hashtags) and analyses their sentiment (positive, negative or neutral). It then predicts the overall sentiment of the opinion people express on a particular matter.

Language: Python - Size: 3.91 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

turkeruzun/twitter-data-analysis-nlp

Analyze Tweets Sentiment Using NLP

Language: Jupyter Notebook - Size: 2.81 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

varun-s22/Product_Analyser

Simple tool, which fetches data of a product from the vendor, analyses it, and shows user the data.

Language: Python - Size: 37.7 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

iamajitsingh/CovidVaccine-AnalyzingPublicOpinion

Analysis of public opinion of the COVID-19 vaccine on online social network (Twitter)

Language: Jupyter Notebook - Size: 19.5 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1

kxnyshk/trending-hashtag-polarity-viz.py

Python script for analyzing Twitter users' sentiment polarity towards a specific trending hashtag on the platform online.

Language: Python - Size: 4.88 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

pablo-ferro/NLP_Biden_speech

Joe Biden Inauguration speech. Sentiments analyzed with NLP

Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

leo-capvano/sentiment_analysis_benchmarking

A benchmark comparison project among the most popular sentiment analysis engines: VaderSentiment, TextBlob, Azure Text Analysis and Amazon Comprehend. The benchmarker is a python module that supports 3 datasets: IMDb, Sentiment140 and Twitter.

Language: Python - Size: 3.33 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

thisislohith6/Twitter-Sentiment-analysis

Language: Python - Size: 33.4 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

VivekRajyaguru/python-nlp-sentiment-analysys-and-spell-check

Flask, Flask Bootstrap, NLP, Textblob, HTML

Language: HTML - Size: 3.91 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

aakankshabaijal/sentiment-analysis-tweepy

A script to perform sentiment analysis on live tweets related to any search term and display results in a pie chart.

Language: Python - Size: 9.77 KB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

jadenl1/crypto-sentiment-analyzer-umbc

analyzing public Twitter data to understand trends within cryptocurrency.

Language: Jupyter Notebook - Size: 14.6 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 2

emreYbs/Sentiment-Analysis-using-TextBlob

Sentiment Analysis using TextBlob Jupyter Notebook

Language: Jupyter Notebook - Size: 1.55 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

harshitsingh13/Extracting-the-polarity-and-subjectivity-of-comments-using-library-such-as-textblob-VADER

Language: Python - Size: 10.7 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

mukulvain/Attendance-System

This project allows a faculty to get the names of absent students and those who have marked proxy

Language: HTML - Size: 13.7 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

shairam-ravi/sentiment-analysis-of-covid-19-tweets

Language: JavaScript - Size: 15.6 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Rutatu/cds-language_Assignment_3

This assignment is class assignment 3 for the language analytics class at Aarhus University, 2021

Language: Python - Size: 36.5 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

Zauverer/Twitter-API-Profile-Polarity

Language: Jupyter Notebook - Size: 108 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

xidiotrix98/2020-Project-Final

Final Year project

Language: Python - Size: 381 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

AndreisSirlene/Sentiment-analysis-reviews

Amazon reviews Sentiment Analysis

Language: Jupyter Notebook - Size: 17.3 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

ayushbudh/remote

Connecting people by analyzing their moods.

Language: JavaScript - Size: 593 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

angelina-ss/sentimentAnalysis

Sentiment analysis using TextBlob library in Python to find correlation between stock price and Twitter sentiment

Language: Jupyter Notebook - Size: 820 KB - Last synced at: 5 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

sangeeth-subramoniam/WebAnalysis

PythonのDjangoフレムワークを使用して、Twitterとウエブからのライブデータを分析すること、分析データをチャートで分かり易くするアップリです。。人々の間での製品のリーチやトレンドを理解するのに役立ちます。The Web Application is made using Django and is used to analyse the current trends of any "Search Term" by streaming Live data from Twitter as well as the World Wide Web. It is useful in understanding the reach or the trends of any products among the people.

Language: Python - Size: 5.06 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1