GitHub topics: sentimental-analysis

Repositories

Engelbert107/Mental-Health-Status-Prediction

This project leverages Natural Language Processing (NLP) and Machine Learning to predict mental health status. Users can interact with an AI-powered system to receive predictions about their mental health status.

Language: Jupyter Notebook - Size: 82.4 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Cedrickly/Master-s-Research-Project

A hybrid approach combining texture-based (GLCM) and deep learning (ResNet50) features with unsupervised clustering and supervised classification for detecting liver diseases. Achieved 99%-100% accuracy using SVM, XGBoost, and Random Forest on pseudo-labeled medical imaging datasets

Size: 1.95 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Seyha1007/Amazon-Reviews-Analysis

🧐 This project analyzes Amazon Fine Food Reviews to investigate whether negative reviews are more emotionally intense and lexically repetitive than positive ones. Using R, we apply sentiment analysis and lexical diversity metrics to uncover patterns in consumer review language.

Language: R - Size: 193 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Shiva-Prasad-Naroju/Review-Sentimental-Analysis-using-SimpleRNN

A web-based NLP model that classifies user reviews as positive or negative using an embedding layer and Simple RNN, built with Streamlit.

Language: Jupyter Notebook - Size: 14.1 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

vicperal/AI-GenAI_projects

Python projects about LLM and ML use cases. I am using modules such as Pandas, Numpy, Plotly, scikit-learn, Transformers, Flask, JSON, etc. to analyze data, predict, generate insights and create text from models such as LLMs, linear regression, assembly methods, etc. Server- Front-End using Flask

Language: Jupyter Notebook - Size: 5.76 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 1 - Forks: 0

santhoshse7en/utuby

simple script for downloading Youtube comments without using the Youtube API

Language: Python - Size: 15.6 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 3

jacobschwantes/eight-ball-api

Fortune-telling API powered by sentiment analysis

Language: TypeScript - Size: 51.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 1

Usama-Fiaz/FYP-TradeBot

TradeBot allows users to make automated trades in the financial markets using artificial intelligence. The bot uses a combination of machine learning algorithms and natural language processing techniques to analyze various market influencing factors, including tweets, news articles, and technical indicator data.

Language: JavaScript - Size: 23.6 MB - Last synced at: 21 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

lucianoayres/nlp-sentinel

Uma solução completa para classificação de sentimentos em avaliações de e-commerce usando técnicas avançadas de Deep Learning e Processamento de Linguagem Natural.

Language: Jupyter Notebook - Size: 10.3 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

bung87/bixin

Chinese Sentiment Analysis 中文文本情感分析

Language: Python - Size: 15.2 MB - Last synced at: 19 days ago - Pushed at: about 2 years ago - Stars: 188 - Forks: 65

kdayno/market-pulse

Stock market dashboard for retail investors, providing insights into financial performance and public sentiment

Language: Jupyter Notebook - Size: 17 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

cosmoduende/r-holy-books-sentiment-data-analysis

What's the most positive or negative religion? . Sentiment and Data Analysis of Holy Books with R. Analysis of religious dogmas by exploring their Holy Books (The Bible, The Quran, The Dhammapada, and The Book of Mormon) with R

Language: R - Size: 1.42 MB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 4

nivesayee/crypto-sentinel

Real-time cryptocurrency sentiment analysis platform

Size: 3.47 MB - Last synced at: 24 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

RezaGooner/PerSent

Python library for analyzing Persian texts. With the ability to analyze customer opinions and their offer status, analyzing the seven emotions in Persian sentences at the moment.

Language: Python - Size: 233 MB - Last synced at: 3 days ago - Pushed at: 2 months ago - Stars: 3 - Forks: 1

mgunawardhana/Sentiment-Analysis-Learning

Sentiment analysis uses natural language processing and machine learning techniques to analyze the emotional tone or sentiment behind a piece of text. It involves identifying and categorizing opinions expressed in a text as positive, negative, or neutral.

Language: Python - Size: 42.3 MB - Last synced at: 6 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

venkat-0706/EmotionXpert-PyTorch

Facial Expression Recognition using Deep Learning. Keywords: Python, CNN, Image Classification, Keras, TensorFlow, Emotion Detection.

Language: Jupyter Notebook - Size: 310 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 7 - Forks: 0

priyanshu-deshmukh/BroCode

This repository contains our hackathon project, Social Pulse which is a social media sentimental analysis tool.

Size: 14.5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Sudarsann27/Sentimental_analysis--Kalki-2898-AD-movie-review-

Sentimental analysis - movie review for movie "KALKI 2898 AD"

Language: Jupyter Notebook - Size: 3.44 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

ellie991/TV-series-analysis

TV SERIES ANALYSIS - THE BIG BANG THEORY vs THE VAMPIRE DIARIES

Language: Python - Size: 9.95 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

abu14/Twitter-Sentiment-Analysis-Prediction

The project tries to classify sentiment of tweets as positive, negative, neutral, or irrelevant based on their content.

Language: Jupyter Notebook - Size: 56.5 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

amruta33/Sentiment-Analysis-of-BlackCoffer-Blogs

This project estimates Sentiment Analysis by calculating text Metrices to drive sentimental opinion, sentiment scores, readability, passive words, personal pronouns, etc, etc.

Language: Jupyter Notebook - Size: 478 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

salimzubair/lyric-sentiment

Sentiment analysis of all songs that entered the Billboard Hot 100 charts from 1958-2019

Language: Jupyter Notebook - Size: 48.8 KB - Last synced at: 5 days ago - Pushed at: 5 months ago - Stars: 10 - Forks: 4

AmiraliSajadi/Twitter-Sentiment140-Analysis

Sentiment analysis of tweets using an LSTM neural network trained on the Sentiment140 dataset with GloVe embeddings.

Language: Jupyter Notebook - Size: 227 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

alexdjulin/ik-robo-reviews-generator

Robo Reviews is a tool that analyzes and summarizes product reviews using AI models for sentiment analysis, clustering, and text generation, providing insights into key pros and cons of products.

Language: Jupyter Notebook - Size: 7.7 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Billizard-Y/Python-Data-and-Text-analysis

NLP Projects on Python

Language: Jupyter Notebook - Size: 3.32 MB - Last synced at: 7 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

sminerport/IMDbSentimentClassifier

A sentiment analysis model trained on the IMDb Movie Reviews Dataset to classify reviews as positive or negative. This project uses a Bidirectional LSTM with GloVe embeddings, batch normalization, and regularization to improve accuracy and generalization. Includes data preprocessing, model training, and evaluation.

Language: Python - Size: 25 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

mwhite732/Flok-Sentiment-Analysis

Sentiment Analysis of the Flok in Python

Language: Jupyter Notebook - Size: 21.5 KB - Last synced at: 15 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

avs-abhishek123/Twitter-Sentimental-Analysis

An AI project where we do web scrapping from Twitter API, find the sentimental analysis using bag-of-word model, & store it in a csv file.

Size: 99.6 KB - Last synced at: 6 months ago - Pushed at: about 2 years ago - Stars: 15 - Forks: 1

Wazzabeee/twitter-sentiment-analysis-pyspark

Comparative study of classification algorithms implemented in PySpark on the Sentiment 140 dataset.

Language: Jupyter Notebook - Size: 2.46 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 2

rudrasish2003/Sentiment_Analysis_on_Employee_Feedback

This Streamlit app allows users to upload an Excel file with "Name" and "Feedback" columns to analyze employee sentiment. It classifies feedback as positive, negative, or neutral using a pre-trained model, providing confidence scores and visualizing the results in a summary table and bar plot.

Language: Python - Size: 4.88 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

SreeEswaran/Multi-Modal-Sentiment-Analysis-with-Transformers

This project leverages the power of transformer models to perform sentiment analysis on both text and images. It uses BERT for text sentiment analysis and a pre-trained vision transformer (ViT) for image sentiment analysis.

Language: Jupyter Notebook - Size: 20.5 KB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

laustindasauce/twitter-bot 📦

This script uses Python and Redis with Twitter API to run a fully automated twitter account.

Language: Python - Size: 3.15 MB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 19 - Forks: 3

neeraj1909/twitter_sentimental_analysis

Sentiment Analysis is a term that you must have heard if you have been in the Tech field long enough. It is the process of predicting whether a piece of information (i.e. text, most commonly) indicates a positive, negative or neutral sentiment on the topic. In this project, I will go through making a Python program that analyzes the sentiment of tweets on a particular topic. The user will be able to input a keyword and get the sentiment on it based on the latest 100 tweets that contain the input keyword.

Language: Python - Size: 114 KB - Last synced at: 22 days ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 2

Anpah/Impact_of_financial_Sector_Reforms_in_Ghana

In this project, I explore savings and investment behaviors to analyze trends and assess confidence in financial institutions. Through this analysis, I provide insights into the current financial landscape and offer recommendations for enhancing financial strategies.

Size: 1.09 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

isabelleysseric/Sentiment-analysis

Sentiment analysis with dependency tree.

Language: Python - Size: 8.89 MB - Last synced at: 9 days ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

xicocaio/its-sentarl

Research project implementation for the ICAIF'21 publication and Master's Thesis. ITS-SentARL => Intelligent Trading Systems: A Sentiment-Aware Reinforcement Learning Approach

Language: Python - Size: 809 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 41 - Forks: 6

alex-nikitin-dev/Sentiment-Analysis-Watson-AI-IBM-Backend Fork of ibm-developer-skills-network/zzrjt-practice-project-emb-ai

An AI-based sentiment analysis application built with IBM Watson NLP embedded libraries, deployed using Flask. The application analyzes text inputs to determine their sentiment (positive, negative, or neutral) and provides a confidence score, complete with error handling and unit testing.

Language: Python - Size: 11.7 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

nano-bot01/Sentiment-analysis-Web-app

sentiment analyser using nltk

Language: Jupyter Notebook - Size: 1000 KB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0

Pasindunabesinghe/Automated-Dropshipping-Price-Sentiment-Analysis-Tool

Dropshipping Product Research Bot is an automation tool built with UiPath that simplifies the dropshipping process by searching, filtering, and analyzing product data from Amazon and BestBuy. It generates a comprehensive report and automates email delivery, making product research more efficient for e-commerce professionals.

Language: VBScript - Size: 221 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

aishrock006/Sentimental-analysis-project

The repository contain the 1st project of Udacity's Nanodegree 2020 Machine Learning Engineer Program.

Language: Jupyter Notebook - Size: 55.7 KB - Last synced at: 10 months ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

royadityak/DataInsights

Text mining and analytics repository

Language: Jupyter Notebook - Size: 27.8 MB - Last synced at: 10 months ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

vishnusathwik/Whatsapp-Chat-and-Sentimental-Analysis

This is a whatsapp and sentimental analysis project that is built in flask framework.

Language: HTML - Size: 11.5 MB - Last synced at: 11 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

rep44-22/Sentimental-Analysis

Language: Jupyter Notebook - Size: 6.84 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

rizkynhidayat/Movie-Sentiment-Analysis-Using-NLP

This project is to analyze the sentiment of subtitle text from the movie "Coco (2017)" using the Natural Language Processing (NLP) tool TextBlob. Through this analysis, I aim to understand how the audience's emotions evolve throughout the film and create compelling visualizations of the sentiment analysis results.

Language: Jupyter Notebook - Size: 25.7 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

abdullah-al-jamil/Multiclass-Sentiment-Analysis-from-Bengali-Comments

Some techniques to analyze Youtube comments using NLP and ML models in Python. The 3 class analysis can tell you whether the comment is positive, negative or neutral and the 5 class analysis can also classify strongly positive and strongly negative.

Language: Jupyter Notebook - Size: 2.51 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

samadhi1311/flowlytica

'_flowlytica' is a social media content analyzer to extract insights

Language: Python - Size: 6.61 MB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

augusticor/Analizador-sentimientos

NLP (Natural Languaje Processing). Este es un analizador de sentimientos basado en procesamiento de lenguaje natural, usando la libreria NLTK principalmente y el framework Flask

Language: Python - Size: 173 KB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

debanjanm/Bangla-Sentiment-Miner

Bangla-Sentiment-Miner focuses on sentiment analysis in noisy Bangla texts, utilizing advanced techniques and preprocessing methods for accurate sentiment classification despite informal language and spelling variations.

Language: Jupyter Notebook - Size: 14.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

An-A1/Bitcoin-Movements-Reddit-Relationship

Bitcoin (BTC) Price movement and Volume Change relationship with the reddit user opinions

Language: Python - Size: 18.7 MB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 1

dr17549/NLP-predict-stock-return

Predicting Stock returns with Twitter tweets addressing the companies

Language: Jupyter Notebook - Size: 46.7 MB - Last synced at: 5 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

verma-tanishq/Suven-Consultants-and-technology

IMDB sentiment analysis using NLP

Language: Jupyter Notebook - Size: 12.7 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 3

Cbhihe/Cloud-computing-projects

Cloud computing - Projects with code

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SomyanshAvasthi/Sentiment-Analysis-for-Market-Research-using-SVM-Model

Sentiment analysis for market research based on customer feedback :- Understanding customer sentiment to drive business success.

Language: Jupyter Notebook - Size: 2.63 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

piyush97/Node-ChatApp-API

(Repo for Node-Chatapp-Api for hosting on Heroku)

Language: JavaScript - Size: 556 KB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

piyush97/NextJS-chatapp

NextJS Sentimental analysis chatbot (WIP)

Language: JavaScript - Size: 798 KB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

Learnlearningplatform/Amazon_Sentimental_Analysis

Sentimental analysis of reviews of amazon users.

Language: Jupyter Notebook - Size: 251 KB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

sudarshan-koirala/NLP-with-BERT-for-Sentiment-Analysis

Sentiment Analysis using BERT

Language: Jupyter Notebook - Size: 5.86 KB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

Katherinedsc/Portfolio

Welcome to my portfolio! I am a data analyst with expertise in data visualization and predictive modeling. This portfolio showcases my work in various data-driven projects that I have completed using Tableau, Python, R, and other tools.

Language: CSS - Size: 5.34 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

Laxmi-Dhungel/Instagram-sentiment-analysis

In this report, I have analyzed country based rating and sentiments towards instagram. Further, I also studied relationship between ratings and sentiments.

Size: 155 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

shruti-2412/Sentimental-Analysis-using-NLP

Size: 516 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

tomartushar/CS772_Multilingual-Sentiment-Analysis

Codebase and utilities for Multilingual Sentiment Analysis.

Language: Python - Size: 5.86 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

terminalai/face-tkinter

A Tkinter-based Facial Recognition based Sentimental Analysis Application that aims to predict emotions of users by accessing the Webcam using a Keras Model. Made as part of Building Blocs SG 2021.

Language: Python - Size: 113 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

yeshamittal/sentimentAnalysis

Language: Python - Size: 27.3 KB - Last synced at: about 1 year ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0

eleow/shopBot

AudioPhil, the shopbot for headphones 🎧

Language: Jupyter Notebook - Size: 441 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

wdprsto/sentimen-prj

Analisis Sentimen pengguna sosial media Twitter terkait topik PRJ (Pekan Raya Jakarta)

Language: Jupyter Notebook - Size: 6.64 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

LaurentVeyssier/BERT_training_for_sentiment_analysis

Use pretrained BERT model for sentiment analysis

Language: Jupyter Notebook - Size: 2.65 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

mathicard/CovidMonitor

Shiny app that performs a real time Sentiment Analysis on the COVID-19 related tweets of users in Italy.

Language: R - Size: 671 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

lucia-corsan/Political_Tweets_NLP

Twitter scraping, Preprocessing, Vectorization and WordCloud visualizations, LDA for topic similarity, NLP transformers to detect hate speech, violence and sentiment analysis for Spanish political tweets

Language: Jupyter Notebook - Size: 9.06 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1

joydeb28/NLP-Notebooks

Natural Language Processing

Language: Jupyter Notebook - Size: 1.12 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 27 - Forks: 9

lorenzo-cm/tpICD

Trabalho Prático de Introdução à Ciência dos dados

Language: Jupyter Notebook - Size: 552 KB - Last synced at: 11 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

VaibhavAbhimanyooHiwase/Sentimental_Analysis_using_Opinion_Target_and_Opinion_Words

This project performed sentimental analysis based on opinion words (like good, bad, beautiful, wrong, best, awesome, etc) of selected opinion target ( like product name for amazon product reviews).

Language: Python - Size: 12.5 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 26 - Forks: 14

Neo-Zenith/text-message-sentiment-analyzer

A mini-project on emotion classification using NLP for the course SC1015: Introduction to Data Science & Artificial Intelligence.

Language: Jupyter Notebook - Size: 52.6 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 3

VishalLudhrani/krishi-mart-web

Krishi Mart (farmer's portal) - an academic project built with ReactJS. Authentication and storage is implemented using Firebase. The review system is enhanced by using Vader Sentimental Analysis library, to display most appreciated products to the users.

Language: JavaScript - Size: 1.17 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

shraddhaROCKS/Data_extraction_and_Text_analysis_for_blackcoffer

The objective of this assignment is to extract textual data articles from the given URL and perform text analysis to compute variables that are explained

Language: Jupyter Notebook - Size: 91.8 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

highplainscomputing/HPC_T5

This repository is made for T5 model where user can train their model on any T5 model version.

Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

cognitivefactory/tweets-analysis

Study of tweets on a given subject: topic modeling, sentiment analysis, ... (SDIA 2023 project for TPS students)

Language: Jupyter Notebook - Size: 18.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

CodeRex7/SentimentAnalysis

Sentiment Analysis using Java CoreNLP which is integrated into Website

Language: Java - Size: 18.6 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

harinarayanaraochepuri/project

SENTIMENTAL ANALYSIS USING DATA MINING

Size: 5.18 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

RSAKIB78/Text-Mining-R

Text mining of customer reviews extracted from TrustPilot

Size: 18.3 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Dedepya/Sentimental-Analysis

An interface for sentiment analysis of users

Language: Jupyter Notebook - Size: 11.8 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

digital-monad/TTDS

Group coursework for the Text Technologies for Data Science course.

Language: Jupyter Notebook - Size: 47 MB - Last synced at: 11 months ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 0

HxnDev/Hadoop-MapReduce-to-Analyze-Sentiment-of-Keyword

In this task, we had to write a MapReduce program to analyze the sentiment of a keyword from a list of comments. This was done using Hadoop HDFS.

Language: Java - Size: 1000 KB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 6 - 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

cosmoduende/r-whatsapp-analysis-parte2

Análisis de sentimientos y visualización de datos con R, de conversaciones de WhatsApp, segunda parte. Uso de librería rwhatsapp.

Language: R - Size: 439 KB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 13 - Forks: 2

felipenufisnor/recurrent_nn_pytorch

Recurrent Neural Networks: Deep Learning with Pytorch

Language: Jupyter Notebook - Size: 153 KB - Last synced at: 10 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ashadnasim52/sentiment-analysis

This project is for sentiment analysis of post/blog submitted by user and then analysising the post and giving it rating . If all goes right then the post/blog submitted by the user will store in mongoDB database otherwise it will show the user to remove abussive words and then resubmit it .

Language: EJS - Size: 2.62 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 11 - Forks: 17

dhruvk2002/sentiment-analysis

This a Sentiment Analysis model trained on twitter dataset containing around 50000 tweets

Language: Jupyter Notebook - Size: 1.28 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

bkrai/R-files-from-YouTube

R and Data Files from my YouTube Channel

Size: 1.84 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 24 - Forks: 106

anushka23g/Twitter-sentiment-Analysis

In this project we have built a model which takes a dataset as an input andas an output gives the percentage of posive ,negative and neutral tweets in the given dataset. It is done using natural language processing library using scikit learn machine learning libraries such as textblob.

Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 3