GitHub topics: textblob | Ecosyste.ms: Repos

ShwetaPardhi0/Project--Sentiment_Analysis

# Project--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 ratings on the source

Language: Jupyter Notebook - Size: 886 KB - Last synced at: about 4 hours ago - Pushed at: about 14 hours ago - Stars: 0 - Forks: 0

PetCareAi/PetCareAI-analytics-Streamlit

PetCare Analytics é uma plataforma avançada para análise inteligente de dados sobre pets, oferecendo dashboard interativo com mapas geoespaciais, análises estatísticas, modelos preditivos de machine learning para otimização de adoções e integração com IA para insights automatizados.

Language: Python - Size: 693 KB - Last synced at: about 7 hours ago - Pushed at: about 14 hours ago - Stars: 0 - Forks: 0

RMN-20/mental-wellness-dashboard

A web-based journaling app that uses Natural Language Processing to analyze sentiment from daily journal entries. Built with Streamlit, it visualizes emotional trends using interactive charts and automatically detects mood.

Language: Python - Size: 267 KB - Last synced at: about 7 hours ago - Pushed at: about 17 hours ago - Stars: 2 - Forks: 0

anastasija0/NLP-for-spellchecking

Language: Jupyter Notebook - Size: 229 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

noob-cracker100/data-analysis-portofolio

Analysis Sentiment

Size: 1000 Bytes - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

crowthewicked/-AI-Powered-E-commerce-Review-Sentiment-Analyzer

Tech Stack: ✅ Frontend: React.js / Next.js (for SSR & SEO) ✅ Backend: Node.js (Express) / Django / Flask (for ML integration) ✅ Database: MongoDB (for flexible review storage) / PostgreSQL ✅ Machine Learning: Python (NLTK, TextBlob, spaCy, or Hugging Face Transformers) ✅ Deployment: AWS / Heroku / Vercel + Firebase (for hosting)

Language: Jupyter Notebook - Size: 7.81 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

shirosaidev/stocksight

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

Language: Python - Size: 3.03 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 2,283 - Forks: 475

aushandra07/Yelp-Review-Sentimental-and-Data-Analysis

A complete data analytics pipeline leveraging Python for JSON preprocessing, AWS S3 for storage, and Snowflake for data warehousing. Includes end-to-end processing and analysis using SQL to extract meaningful insights.

Language: Jupyter Notebook - Size: 17.6 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

ankur715/Web

python dash, borek, flask, html, django

Language: Jupyter Notebook - Size: 2.09 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 1 - Forks: 0

alisonmitchell/Stock-Prediction

Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.

Language: Jupyter Notebook - Size: 20.9 MB - Last synced at: 11 days ago - Pushed at: 2 months ago - Stars: 189 - Forks: 37

Pistonrings/Song-Lyrics-Analysis-2012-to-2022

An interactive Streamlit dashboard to analyze Billboard Top 100 songs (2012–2022) by genre, artist, lyrics, and sentiment using data visualization and NLP. Includes filtering, trend analysis, word clouds, sentiment insights, and CSV export.

Language: Jupyter Notebook - Size: 980 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

santhoshse7en/tweety

tweety scrape all the tweets using python and selenium with No API rate limits. No restrictions. Extremely fast.

Language: Python - Size: 24.4 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 4 - Forks: 1

santhoshse7en/utuby

simple script for downloading Youtube comments without using the Youtube API

Language: Python - Size: 15.6 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 4 - Forks: 3

farhad-here/TextPrepX

A Multilingual Text Preprocessing Tool for English and Persian.

Language: Python - Size: 3.74 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

satyampandey1411/SAT-News-Analyser

SAT News Analyser is a web application offering in-depth news article analysis with features like sentiment analysis, genre detection, POS tagging, and reading time estimation. Supports URL-based content extraction, Google OAuth authentication, article history, and text-to-speech functionality. Built with Flask, PostgreSQL, and NLTK.

Language: HTML - Size: 445 KB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 1 - Forks: 0

Jivan052/Sentiment-Analysis

Sentiment Analysis | Make things more visual & predictable

Language: Python - Size: 11.7 KB - Last synced at: 28 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

SohomM/-AI-Powered-E-commerce-Review-Sentiment-Analyzer

Tech Stack: ✅ Frontend: React.js / Next.js (for SSR & SEO) ✅ Backend: Node.js (Express) / Django / Flask (for ML integration) ✅ Database: MongoDB (for flexible review storage) / PostgreSQL ✅ Machine Learning: Python (NLTK, TextBlob, spaCy, or Hugging Face Transformers) ✅ Deployment: AWS / Heroku / Vercel + Firebase (for hosting)

Language: Jupyter Notebook - Size: 5.86 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Nuraj250/LexiIQ

🚀 LexiIQ is an AI-powered NLP tool that processes text using spaCy and TextBlob to extract meaningful insights. It provides tokenization, named entity recognition, dependency parsing, sentiment analysis, and an interactive interface for easy use.

Language: TypeScript - Size: 707 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

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: about 2 months ago - Pushed at: about 2 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: 21 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

TiesdeKok/Python_NLP_Tutorial

This repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)

Language: Jupyter Notebook - Size: 443 KB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 125 - Forks: 66

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: about 2 months ago - Pushed at: about 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 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ShinyQ/Naive-Bayes_Analisis-Sentimen-Kebijakan-Vaksinasi-COVID-19-Pemerintah

Analisis sentimen masyarakat Indonesia terhadap kebijakan pemerintah mengenai vaksin COVID-19.

Language: Jupyter Notebook - Size: 6.25 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 18 - Forks: 8

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: 2 months ago - Pushed at: 7 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: 2 months ago - Pushed at: 2 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: about 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

adotri-frimpong/NLP_Project

Streamlit App - Sentiment analysis

Language: Python - Size: 185 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

geetisha/Advanced-EDA-and-Text-Mining

Advanced EDA and Text Mining

Language: Jupyter Notebook - Size: 1.08 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

mhdimo/osu-chat-sentiment-analysis

Project for the subject "Technologied for Advanced Programming"

Language: Jupyter Notebook - Size: 415 KB - Last synced at: about 7 hours ago - Pushed at: 6 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: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

emilh7279/german-sentiment-feedback-analysis

📊 German Sentiment Analysis for Service Desk Feedback with TextBlob-de, Hugging Face's BERT, and Custom Self-Trained Models. Welcome to the German Sentiment Analysis project, where we utilize TextBlob-de, Hugging Face's BERT, and Custom Finetuned Models for analyzing customer feedback from a service desk.

Language: Python - Size: 58.6 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

oshinrathor/ML-NLP-Projects

This repository contains a collection of Machine Learning and NLP projects, including sentiment analysis with NLTK, text preprocessing, and deep learning models. It covers techniques like tokenization, stopword removal, lemmatization, rule-based analysis, and transformer models like BERT for practical NLP applications.

Language: Jupyter Notebook - Size: 117 KB - Last synced at: 6 days ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

ericmaddox/neurollama-ai

Interactive AI Chat with Memory and Sentiment Analysis. Features text-to-speech, conversation history retention, and customizable sentiment-aware responses using Llama 3.2 and TextBlob.

Language: Python - Size: 9.82 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

MoinDalvs/Assignment_Web_Scraping_Emotion_Mining

Extract reviews of any product from ecommerce website like amazon

Language: Jupyter Notebook - Size: 3.18 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 2

shaadclt/Twitter-Hashtag-Analysis

This project provides a website that allows users to analyze real-time tweets from Twitter based on a specific hashtag. The website includes a tweet sentiment analyzer to determine the sentiment (positive, negative, or neutral) of the collected tweets.

Language: Python - Size: 114 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 7 - Forks: 1

vinitshahdeo/jobtweets

:mag: This project is about searching the twitter for job opportunities using popular hashtags and applying sentiment analysis on this. :hash: :bird:

Language: Python - Size: 1.36 MB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 123 - Forks: 83

drleniaw/data-analysis-portofolio

Analysis Sentiment

Language: Jupyter Notebook - Size: 450 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

jiya19g/Sentio-Sentiment-Analysis-Model

sentiment analysis web app

Language: Python - Size: 33.2 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 2

RauhanAhmed/WordWeaver

Django-based text utility service, offering multi-language translation, sentiment analysis, and text summarization, all seamlessly deployed on AWS Lambda with Docker for robust and scalable performance.

Language: JavaScript - Size: 429 KB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0

aniass/Sentiment-analysis-reviews

Sentiment analysis of women's clothes reviews by using machine learning algorithms and Neural Networks (LSTM).

Language: Jupyter Notebook - Size: 5.34 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 7 - Forks: 2

shevon2000/Mood_Journal_Tracker

A Python-based mood tracker application with a GUI interface built using Tkinter. The project allows users to log their daily mood, thoughts, and view sentiment analysis and mood trends.

Language: Python - Size: 22.3 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

AjayKumar095/Natural_Language_Processing

Explore cutting-edge Natural Language Processing (NLP) techniques in this GitHub repository. Includes pre-trained models, custom NLP pipelines, text preprocessing tools, sentiment analysis, text classification, and more. Ideal for research, learning, and deploying NLP solutions in Python.

Language: Jupyter Notebook - Size: 2.32 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

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: 4 months ago - Stars: 0 - Forks: 0

simranjeet97/Innovative-Sentiment-Analysis

I created a new technique to do sentiment analysis with 98% probability using multiple techniques combined to from a new method. I made a video on this whole project and show you, how “Next Gen Sentiment” is much better then NLTK, TEXTBLOB or LLMs.

Language: Jupyter Notebook - Size: 634 KB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 1

piyush06singhal/Youtube_Video_classifier

The YouTube Comment Analyzer is a web application that extracts and analyzes YouTube video comments using the YouTube Data API and TextBlob. It provides insights into sentiment and genre while enabling users to save comments directly to Google Drive.

Language: Jupyter Notebook - Size: 130 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

LugolBis/Projet-IN304

Inpoda est un programme python qui traite et analyse les données d'une base de données stocké au format JSON. L'enjeux principal d'Inpoda est d'extraire les 'Topics' et sentiments des tweets d'une base de données internationale.

Language: Jupyter Notebook - Size: 1.94 MB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 1 - 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: 2 months ago - Pushed at: 6 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: 19 days ago - Pushed at: 5 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: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

NemesLaszlo/Social-Media-Analysis-based-on-COVID-19-with-Sentiment-Analysis-NER-and-Information-Extraction

This repository contains the social media data scraper and the notebooks of this analysis. Where we analise the Social Media posts - tweets with Sentiment Analysis then we analyse this results with Named Entity Recognition (NER) and Information Extraction methods to get a more accurate and detailed picture of this sentiment results.

Language: Jupyter Notebook - Size: 33.1 MB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 2

AmirhosseinDotZip/sentinalysis

This is a collection of Jupyter notebooks that use popular sentiment analysis Python libraries to analyze text.

Language: Jupyter Notebook - Size: 1.12 MB - Last synced at: 5 months ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 0

PasaOpasen/SpeechLogger

The simple application for logging (and translating) all speech from your microphone and speaker

Language: Python - Size: 20.5 MB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 9 - Forks: 2

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: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

adhaamehab/textblob-ar 📦

Arabic support for textblob

Language: Python - Size: 4.24 MB - Last synced at: 11 days ago - Pushed at: over 3 years ago - Stars: 85 - Forks: 25

Yash22222/TERRORIST-ACTIVITY-FORECASTING-AND-RISK-ASSESSMENT-SYSTEM

In an era marked by global security challenges, the "TAFRAS" emerges as a cutting-edge solution to tackle the ever-evolving threat of terrorism. The project is grounded in the urgent need for predictive systems that can anticipate, assess, and mitigate potential terrorist activities.

Language: HTML - Size: 31.6 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

NemesLaszlo/Sentiment-Analysis-and-Stock-Values

Sentiment analysis of economic news headlines and examining their effects on stock market changes without the full article or analysis. Awareness and click generation are important roles for business news headlines as well. The effect can be demonstrated.

Language: Jupyter Notebook - Size: 8.09 MB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 9 - Forks: 7

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: 6 months ago - Stars: 0 - Forks: 0

Oyebamiji-Micheal/Sentiment-Analysis-of-Spotify-Songs

Analyzing sentiment in Spotify music dataset using natural language processing

Language: Jupyter Notebook - Size: 11.7 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

Asabeneh/python-autumn-2024

A Python programming course at Omnia, Fall 2024

Language: Python - Size: 2.24 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 31 - Forks: 7

charakamihiranga/SE10-Sessions

SE10 Sessions

Language: Java - Size: 3.03 MB - Last synced at: 4 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

zargiteddy/Skripsi-UTDI

Twitter Sentiment Analysis on Youth Marriages using Linear Support Vector Machine

Language: Jupyter Notebook - Size: 6.29 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - 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

1391819/apple-sentiment-analysis

Sentiment analysis of Apple's reviews on Trustpilot using Requests, BeautifulSoup, NLTK and TextBlob.

Language: Jupyter Notebook - Size: 408 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 2 - 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: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

DevelopedBy-Siva/emo-gauge

Analyze the sentiment in the comment section of YouTube.

Language: Python - Size: 123 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - 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: 7 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: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

SayliDholam/Text_Sentiment_Analysis

Language: Python - Size: 601 KB - Last synced at: about 11 hours ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

sukanyadutta52/Sentiment-Analysis

An Analysis of How Machine Perceives Women and How Women Feel about Themselves As a Result of This Perception: Sentiment Analysis

Language: Jupyter Notebook - Size: 187 KB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 1 - 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: 3 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: 6 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

IhabBendidi/sentiment_embeddings

A scientific benchmark and comparison of the performance of sentiment analysis models in NLP on small to medium datasets

Language: Jupyter Notebook - Size: 54 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 3

RomanKornev/Translate

Plugin for Wox that translates between English and any other language

Language: Python - Size: 12.7 KB - Last synced at: about 1 month ago - Pushed at: almost 9 years ago - Stars: 3 - Forks: 3

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: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

razamehar/Mood-Tracking-Application

Language: Python - Size: 167 KB - Last synced at: 3 months ago - Pushed at: 9 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: 9 months ago - Stars: 0 - Forks: 0

shwetapardhi/Project--Sentiment_Analysis

# Project--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 ratings on the source to chec

Language: Jupyter Notebook - Size: 886 KB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 1 - 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: 9 months ago - Pushed at: 9 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: 9 months ago - Pushed at: 9 months 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

shihjen/YouTube_SentimentAnalyzer

An application designed to provide detailed sentiment analysis on YouTube video comments.

Language: Python - Size: 854 KB - Last synced at: 2 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

sayaaoi/Open.Data.Mashups.Project

Reactions to LGBT/Feminist movies and Political tendency by state in US

Language: Jupyter Notebook - Size: 8.69 MB - Last synced at: 10 months ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

platisd/bad-commit-message-blocker

Inhibits commits with bad messages from getting merged

Language: Python - Size: 22.5 KB - Last synced at: 28 days ago - Pushed at: 10 months ago - Stars: 62 - Forks: 9

PasaOpasen/TranslatorBot

Telegram bot for translation messages to certain languages

Language: Python - Size: 45.7 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 6 - Forks: 4

sarfarazunarr/python-projects

Here are the best python projects that will definately help you in a lot of way if you are beginner then you can use these projects and recreate them and can practice on python. Read Readmd for more information about projects available in repository,

Language: Python - Size: 46.9 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

bluexdev/YouTubeSentimentAnalyzer

Herramienta de análisis de sentimientos para comentarios de YouTube utilizando TextBlob y Transformers.

Language: Python - Size: 13.7 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 3 - Forks: 0

the-javapocalypse/Twitter-Sentiment-Analysis

This script can tell you the sentiments of people regarding to any events happening in the world by analyzing tweets related to that event

Language: Python - Size: 9.77 KB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 158 - Forks: 114

akash-rajak/Spelling-Corrector

Python script to correct the spelling mistake in text to it's nearest text or word.

Language: Python - Size: 387 KB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 2 - 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: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

KrishArul26/Fake-News-Classification-using-Bidirectional-LSTM-and-RNN

Apply the deep learning algorithm like LSTM & RNN for fake news classification.

Language: Jupyter Notebook - Size: 1.1 MB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 1 - 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