Topic: "textblob"
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: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
jirobassik/text_language_system
Multifunctional system for automatic text and language analysis
Language: Python - Size: 245 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
mr-ksy/TwitterSentimentAnalysis
Sentiment Analyzer using python packages like textbob , wordcloud etc. When you give an twitter username it analyses the recent tweets of that user.
Language: Jupyter Notebook - Size: 259 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
harika1807/CodeClauseInternship_SentimentAnalysis
A simple sentiment analysis tool using Python and TextBlob.
Language: Jupyter Notebook - Size: 1.62 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
dhruvv1402/X-Twitter-Bot-Python
A Python-powered Twitter bot for content generation, analytics, and automation using Twitter API v2.
Language: Python - Size: 8.79 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
DS-Python-programmers-Spectrum/Flipkart-Sentimental_Analysis-App
The Flipkart Sentiment Analysis project aims to analyze customer reviews of Flipkart products using Natural Language Processing (NLP) and visualize insights through a Streamlit-based web application. This system will classify customer feedback as positive, negative, or neutral
Language: Jupyter Notebook - Size: 1.74 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
lovnishverma/sentimentanalysis
Sentiment Analysis using TextBlob
Language: Python - Size: 59.6 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
sambhu431/Multifunctional-ChatBot-Fine-Tuned-Using-Roberta-Bart-Transformers
The project contains code and resources for a sophisticated AI-driven chatbot designed to provide accurate, context-aware responses. It uses RoBerta and BART Transformers and advance NLP techniques. The chatbot is capable of handling a wide range of domains such as healthcare , finance , etc..
Language: Jupyter Notebook - Size: 32.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
yadarammadhu/Sentiment-Analysis
Sentiment Analysis Using Python This project performs sentence-based sentiment analysis to classify input text as Positive, Negative, or Neutral. It utilizes Python and NLP libraries to analyze sentiment polarity efficiently. Features: Accepts user-inputted sentences. Determines sentiment polarity (Positive, Negative, or Neutral). Uses NLP librari
Language: Python - Size: 1000 Bytes - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
jiya19g/Sentio-Sentiment-Analysis-Model
sentiment analysis web app
Language: Python - Size: 33.2 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 2
pranavsuriya-sr/Social_Media_Content_Analyser
An application that analyzes social media posts and suggests engagement improvements.
Language: Python - Size: 8.79 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
ParthaPRay/nlp_pipeline_openai
This repo contains nlp pipeline and openai API integration
Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
sofiasawczenko/analyzing_text_sentiment
Project that preprocess textual data using Python libraries such as NLTK, TextBlob, and Newspaper3k. It covers how to scrape articles, clean and process text data, and analyze its sentiment.
Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
arrismo/news-dashboard
Dashboard using News API, Snowflake, dbt, Textblob and Tableau
Language: Python - Size: 20.7 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
mhdimo/osu-chat-sentiment-analysis
Project for the subject "Technologied for Advanced Programming"
Language: Jupyter Notebook - Size: 415 KB - Last synced at: 1 day ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
thekartikeyamishra/ResumeEvaluatorApp
The Automated Resume Evaluator is a Python-based application that helps evaluate resumes against job descriptions. It calculates an Applicant Tracking System (ATS) score, which is the percentage of keywords from the job description found in the resume.
Language: Python - Size: 13.7 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
amishra15/AI-Powered-Therapy-Bot-Using-OpenAI-GPT
Chatbot for people suffering with depression and looking for someone to talk.
Language: Jupyter Notebook - Size: 15.6 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
arya-io/LingoLens
A Streamlit app for language translation and sentiment analysis powered by GoogleTranslator and TextBlob.
Language: Python - Size: 14.6 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
Tobibiggest/Ashluxe-Sentiment-Analysis-using-Twitter-APi
A data science project using the Twitter API v2 to analyze sentiment around the Ashluxe fashion brand on Twitter, focusing on public opinion in Nigeria. This project provides insights into consumer perceptions, applying Natural Language Processing (NLP) to classify sentiment and visualize the distribution of opinions.
Language: Jupyter Notebook - Size: 36.1 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
akshaygidwani404/Realtime-Twitter-Sentiment-Analysis
A big data initiative aimed at creating a real-time data pipeline to analyze the popularity and sentiments of trending topics on Twitter.
Language: Jupyter Notebook - Size: 73.2 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
CaritoRamos/text-mining-project-in-python
This project applies Text Mining techniques using Python (NLTK, spaCy, TextBlob) to analyze a book. It includes text cleaning, tokenization, sentiment analysis, and keyword extraction to uncover insights.
Language: Jupyter Notebook - Size: 2.9 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
aishwaryagm1999/Insurance-Workflow-Management
This project is an Insurance Workflow Management System designed to streamline policy management, claims processing, and fraud detection. It includes user account management, customer feedback analysis via NLP, alert notifications through SMS, and a fraud detection model, providing a secure, efficient solution for insurance operations.
Language: HTML - Size: 15.8 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - 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: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
RedInfinityPro/ThematicBot
Rating: (8/10): ThematicBot is an AI-based chatbot developed using TensorFlow, spaCy, and KMeans clustering to generate contextually appropriate responses, improving user experience through tokenization, embedding, and Tkinter library management.
Language: Python - Size: 56.6 KB - Last synced at: 5 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
danukarangith/simple-sentiment-analyzer_python
This repository contains a simple web application for performing sentiment analysis on text input using Flask and TextBlob. The application allows users to enter text and receive a sentiment analysis result indicating whether the text is positive, negative, or neutral.
Language: HTML - Size: 28.3 KB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
pRoMasteR2002/HexSoftwares_Project_Sentiment-Analysis
A sentiment analysis tool that classifies feedback as positive, negative, or neutral, with corresponding emotional reactions.
Language: Python - Size: 15.6 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
razamehar/Mood-Tracking-Application
Language: Python - Size: 167 KB - Last synced at: 8 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
VishwasT333/Speech-Recognition-Based-Sentiment-Analysis-and-Quiz-Generator
This AI-powered interview assistant records conversations, detects key programming keywords, and classifies them into pros and cons. It generates follow-up questions to assess the interviewee's proficiency and then creates a detailed report summarizing strengths, weaknesses, and overall performance for the interviewer.
Language: Jupyter Notebook - Size: 6.84 KB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
Kshitij-Shresth/Live-News-Sentiment-Analyser
A TextBlob web application that allows users to analyze the sentiment of news articles based on a specified topic. The application fetches news articles using the News API and visualizes the results in a ring chart.
Language: Python - Size: 27.3 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
Shankjbs571/DataAnalytics
This Colab notebook contains my solutions for a DataAnalytics project that involved analyzing a dataset
Language: Jupyter Notebook - Size: 6.06 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
shihjen/YouTube_SentimentAnalyzer
An application designed to provide detailed sentiment analysis on YouTube video comments.
Language: Python - Size: 854 KB - Last synced at: 20 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
Chethan34/App-Review-Sentiment-Analysis
App Review Sentiment Analysis Using NLTK Textblob for Sentiment Analysis, helps app developers and businesses understand user feedbacks.
Language: Jupyter Notebook - Size: 5.23 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
mrnust/AI-Powered-SocialMediaPostOptimizer_LLM
AI-Powered Social Media Post Optimizer enhances your social media content by optimizing text posts with relevant tags and keywords, predicting engagement metrics, and analyzing image quality. Upload your post and image to receive tailored suggestions for improving engagement and visual appeal.
Language: Python - Size: 5.86 KB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 1
aungkhantmyat/Vaccine-Tweets-Sentiment-Analysis
COVID-19 Vaccine Tweets sentiment analysis using PySpark and mongoDB.
Language: Jupyter Notebook - Size: 3.4 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 2
BotSonu/Text_Analysis
The objective of this assignment is to extract textual data articles from the given URL and perform text analysis to compute variables.
Language: Jupyter Notebook - Size: 394 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
ascender1729/sentitweet
SentiTweet: Advanced sentiment analysis tool using AWS Comprehend and TextBlob. Analyze text sentiment via CLI or web interface with visualizations.
Language: Python - Size: 105 KB - Last synced at: 4 days ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
NehaSharnagat91/Project-1--Sentiment-Analysis
Developed Python script to extract comments data from Amazon and Official site. Performed NLP based Tokenization, Lemmatization, vectorization and processed data in Machine understandable language Have used VADERS, ROBERTA and BERT models to find the sentiment of the reviews and used the textBlob library for processing textual data.
Language: Jupyter Notebook - Size: 886 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
RcrSavior/SentimentAnalysis-TopicModelling
Language: Jupyter Notebook - Size: 550 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
Eakta08/Sentiment-Analysis-of-Spotify-App-Reviews
This is a Natural Language Processing Project using VADER, Afinn, Textblob, Transformers and ML model. Also using Flask.
Language: Jupyter Notebook - Size: 11.8 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
arvind-4/summarizer
Simple Summarizer using python
Language: HTML - Size: 111 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
sindhupr11/twitter-sentiment-analysis
Language: JavaScript - Size: 106 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
Ayushverma135/Data-Extraction-and-Text-Analysis-using-NLP
The objective of this assignment is to extract textual data articles from the URL and perform text analysis to compute variables.
Language: Jupyter Notebook - Size: 157 KB - Last synced at: 20 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
1810suman/Sentiment-Analyzer-App
The Sentiment Analysis App, built with tkinter and TextBlob, features a main window with a violet background. Users input text in a provided box, clicking "Analyze Sentiment" triggers analysis. The app checks for empty input, displays results (Positive, Neutral, Negative) in a label below. Continuous event handling keeps the app responsive.
Language: Python - Size: 3.91 KB - Last synced at: 18 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
akul-bharadwaj/Wikipedia-Scraping
This a repo of Python project on NLP
Language: Python - Size: 19.5 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
RohitG57/Amazon-Food-Review
This is a sentiment analysis project based on pretrained modules like TextBlob and VADER on Amazon_Food_Reviews dataset.
Language: Jupyter Notebook - Size: 661 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
sayantani-dey/NLP-Analysis-Of-Amazon-Food-Reviews
Sentiment Analysis of Amazon Food Reviews to the customer ratings using VADER, TextBlob and Flair
Language: Jupyter Notebook - Size: 5.08 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
ianhaggerty/final-capstone
This represents the final capstone project in my HyperionDev Data Science (fundamentals) course. A dataset of Amazon customer reviews is analysed using natural language processing.
Language: Jupyter Notebook - Size: 7.58 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
hammadhadikhan/Sentiment-Analysis-using-Various-NLP-approaches
I performed sentiment analysis aimed at determining the sentiment of 50000 imDB movie reviews, whether they are positive, negative, or neutral. I employed various NLP approaches including lexicon based approaches, machine learning models, PLM models, and hybrid models, and assessed the performance on each type of model.
Language: Jupyter Notebook - Size: 2.34 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
PavithraVijaykumaar/Sentiment-Analysis-TextMessages
This project is about performing senimental analysis on text messages using TextBlob library and build a Machine Learning model which predicts the emotion of the message
Language: Jupyter Notebook - Size: 7.15 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
moheebprojects/CryptoCurrrency-Subreddit-ETL
This project delves into the CryptoCurrency subreddit, using PRAW API for data scraping and PySpark for analysis, to extract and analyze sentiments from submissions and comments. Its aim is to uncover prevailing community sentiments,
Language: Python - Size: 44.9 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
saikrishnabudi/Text-Mining
Data Science - Text Mining Work
Language: Jupyter Notebook - Size: 3.75 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
volantebjb/jex-basic-chatbot
Basic python chatbot project utilizing NLP, sentiment analysis, and intent recognition to understand and analyze CX through interactive conversations.
Language: Python - Size: 30.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
vigneshavmm/TwitterSentimentAnalysis Fork of SubramaniyanGS/TwitterSentimentAnalysis
in this project was help you to analyze the peoples emotions or sentiment in twitter.
Language: Python - Size: 50.8 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Murriel11/Twitter_Sentiment_Analysis
Sentiment Analysis Project using Natural Language Processing (NLP) Techniques, Machine Learning and Python
Language: Jupyter Notebook - Size: 3.17 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
xariet/QANTAS_Reviews_Analysis
QANTAS Customer Reviews Analysis
Language: Jupyter Notebook - Size: 223 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Amishakul/Tourist-Spot-Sentiment-Analysis-
This is project for sentiment analysis. I have used Natural language processing technology with python and tkinter for GUI
Language: Python - Size: 3.91 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Ilyaant/AI-translator
Курсовая работа по дисциплине "Методы искусственного интеллекта" (01.03.04 Прикладная математика, НИТУ МИСИС)
Language: Python - Size: 835 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
yasinda-s/Flask-SVM-Sentiment-Analysis
Labelling dataset with Snorkel and TextBlob, building model with Scikit-Learn (SVM), wiring up a web app using Flask.
Language: Jupyter Notebook - Size: 4.87 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
blackwakhu/textblob-grammar-flask
performing simple functions on textblob
Language: CSS - Size: 12.7 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
ArpitaShrivas001/Sentiment-Analysis-
Used text pre processing and NLP techniques on AIR BNB customer feedback data for sentiment analysis
Language: Python - Size: 10.8 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
ArpitaShrivas001/Sentiment-Analysis
Text pre processing and sentiment analysis on AIR BNB customer feedback dataset.
Language: Python - Size: 18.6 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
amruthaa08/Company_Sentiment
Unveiling customer sentiments through company reviews, for informed decision-making
Language: Jupyter Notebook - Size: 634 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
desaikun1996/Netflix-Data-Exploration-using-Pandas-and-Numpy
Analysing the Netflix dataset containing details of various movies and tv series. Performing EDA and further making appropriate visualizations to deduce relevant insights from the data.
Language: Jupyter Notebook - Size: 1.98 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
absterjr/WebScraper
Web Scraper to scrape articles from multiple websites at the same time.
Language: Python - Size: 102 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
madhur02/NLP-Tutorials
NLP Tutorials- Bidirectional LSTM, CRF, Spell Checker, Text Blob sentiment analysis
Language: Jupyter Notebook - Size: 45.1 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
Aafreen2603/Sentiment-analysis-depression-detection
Language: Jupyter Notebook - Size: 955 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
DanCorley/lyric_scraper
webscraper to pull lyrics from musical artists
Language: Python - Size: 30 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
aakinlalu/LiveChat
Livechat provides sentiment of user live text and identify entities in the text
Language: Python - Size: 10.8 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
msadiq10/Twitter-Sentiment-Analysis
An academic project to use text analytics tools to analyze tweets from Twitter regarding the topic 'Technology and Innovation in UAE'
Language: Jupyter Notebook - Size: 2.01 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
Kaveh-Sabouri/SpellingChecker-App
Hello today I wrote a spelling checker app with python
Language: Python - Size: 1000 Bytes - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
Kaveh-Sabouri/Colorchooser-App
Hello Today I wrote a Colorchooser app with python.
Language: Python - Size: 1000 Bytes - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
ahana-mukherjee/sentiment-analysis-and-topic-modeling-of-tweets
Sentiment analysis and topic modeling of Russia-Ukraine war-related tweets
Language: Jupyter Notebook - Size: 1.13 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
GabrieleCarl/twitter-real-time-sentiment-analysis
twitter real-time sentiment analysis
Language: Jupyter Notebook - Size: 23.4 KB - Last synced at: 10 months 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: over 2 years ago - Stars: 0 - Forks: 0
Nayemjaman/Data-Analysis
Language: Jupyter Notebook - Size: 4.84 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
L-VinayKumar/YouTube-Sentiment-Analysis
Sentiment Analysis
Language: Jupyter Notebook - Size: 1.68 MB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
limkhashing/Customer-Experience-Management-System
Sentiment Analysis for customer experience
Language: Python - Size: 23.4 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 2
allanphil/Financial-News-Article-Summarizer
Python-based solution to extract insights and analyze sentiment from financial news articles using Natural Language Processing.
Language: Jupyter Notebook - Size: 3.91 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
probablyhooman/Spelling-Checker
Spelling Checker using Python is a project that uses Python programming language to detect spelling errors in text files. It can detect misspelled words and offer suggestions for correct spelling using a pre-defined dictionary. Th
Language: Python - Size: 1000 Bytes - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
nmtuan2001/nus-sentiment Fork of selangor-no-1/nus-sentiment
Hack&Roll 2023 - Team 8: NUS Sentiment
Language: Python - Size: 75.2 KB - Last synced at: 11 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
QuentinBeauchet/ProjetTATIA
Projet pour le cours de Traitement automatique du texte en IA
Language: HTML - Size: 12.3 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1
anmolrk/Social-Media-Sentiment-Analysis
Social Media Sentiment Analysis Using Twitter Dataset (Group project by - Anmol Raj, Paritosh Parihar) In this we use a data set containing a collection of tweets to detect the sentiment associated with a particular tweet and detect it as negative or positive accordingly using Machine Learning.
Language: Jupyter Notebook - Size: 2.85 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
Dorian25/twitter-trends-plus
Allows you to summarize international trending topics with an image/video
Language: HTML - Size: 167 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
vlo4/Summarizer
Summarizer for articles on python using nltk and newspaper3k libraries.
Language: Python - Size: 9.77 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
donaldtang8/tweet-doc
🐦Web application that web scrapes twitter profiles for recent tweets and performs sentiment analysis
Language: Python - Size: 239 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
AsimChakraborty/real-time-speech-to-text-recognition-using-python
This is a system where speech is taken as input and it is converted into script on real-time. Later the input data is going to be taken in for sentiment analysis.
Language: Jupyter Notebook - Size: 104 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
weimer-coders/nba_sentiment
nba_sentiment is a sentiment analysis project written in python that inspects every comment posted on an NBA subreddit
Language: Python - Size: 195 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
ratijha/TwitterSentimentApp
Language: Python - Size: 7.81 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
NiveditaSureshK/Youtube-Text-Data-Analysis
Sentiment analysis of Youtube comments, likes, and dislikes to determine the emotional tone they carry, whether they’re positive, negative, or neutral to ascertain the author’s attitude towards a topic.
Language: Jupyter Notebook - Size: 203 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
lcarnevale/twitter_ngrams_classifier
Natural Language Processing research by University of Messina
Language: Python - Size: 693 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
injamul3798/Spelling_correcttion_Python
Language: Python - Size: 0 Bytes - Last synced at: 21 days ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
WithDD97/Twitter-sentiment-analysis-Elon-Musk
Big data Text Classification: 4M records
Language: Jupyter Notebook - Size: 6.07 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
nipun-goyal/DocuMeta-The-Art-of-Generating-Metadata
This project showcase the application of LDA Topic Modelling and KMeans Clustering for extracting information from the PDF documents
Language: Jupyter Notebook - Size: 1.05 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
tanmayrauth/twitter-sentiment-analysis
It fetches the tweet from Twitter using the TweePy API. Using those fetched tweet it identifies the sentiment polarity of it using TextBlob package.
Language: Python - Size: 2.93 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
kapil-verma/SentimentAnalysisApp
A model for Sentiment Analysis, Spell Check & Grammar Check
Language: Python - Size: 1.59 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
Ryndine/elon-tweets-bitcoin
Twitter text analysis into whether Elon Musk's tweets influence bitcoin values.
Language: Jupyter Notebook - Size: 119 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
Pevicsanch/advanced-machine-learning
Performance a Pipelines, grid search and text mining. Let's start with several basic exercises.
Language: HTML - Size: 1.21 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
Kanhalelor/Twitter-Sentiment-Analysis
Mine Tweets, Clean Data, Preprocess the data, Analyze Twitter sentiment
Language: Python - Size: 188 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1
vabh08/Spelling-Checker-and-Corrector
Spell Checker using Python. Using Python modules to take input from the user and showing the output based on spelling typed.
Language: Python - Size: 2.93 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
BabakBar/Sentiment-Analysis-Adv
Sentiment Analysis in Python
Language: Jupyter Notebook - Size: 8.47 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
