GitHub topics: wordcloud-visualization

Repositories

RohitDusane/power-bi-sentiment-analysis-insurance-coverage-dashboard

This project analyzes insurance data in Power BI, integrating sentiment analysis to evaluate customer feedback. Visualizations include Word Cloud, Decomposition Tree, and sentiment scoring to assess claims trends, policy performance, and demographic impacts, helping stakeholders optimize strategies and improve customer engagement. 📊

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Inspirateur/wordcloud-rs

Rust library to generate word cloud images from text and images !

Language: Rust - Size: 3.58 MB - Last synced at: 10 days ago - Pushed at: 3 months ago - Stars: 18 - Forks: 5

YaoSiyuan43/YaoSiyuan43.github.io

ciyunyun

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Abdiasarsene/Mapping_and_Evolution_of_Circular_Business_Models

This repository analyzes trends in circular business models using NLP techniques like LDA for thematic analysis, word clouds for visualization, and spaCy for semantic exploration.

Language: Jupyter Notebook - Size: 2.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ljhack/merchant-categorization

An AI-powered system to categorize merchants from transactional data using NLP and clustering techniques!

Language: Jupyter Notebook - Size: 15.6 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

suleymancgn/NLP-SentimentClassification

NLP-SentimentClassification is a repository for natural language processing projects focused on analyzing and classifying sentiment in text data using various machine learning techniques. It provides code examples and resources for training models to accurately predict sentiment in text-based data sources.

Language: Jupyter Notebook - Size: 727 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Rohan3122k/Social-Media-Sentiment-Analysis-of-Finance-Defence-and-Healthcare-in-the-USA

This project provides a comprehensive, data-driven analysis of three critical sectors - Finance, Defense, and Healthcare , under the administrations of Donald Trump and Joe Biden.

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ivan-abernado/News-Scrapping-EN-ES-Visualization-SAnalysis

News Scrapping & WordCloud (EN/ES) using the libraries newspaper3k for news scrapping, Spacy for text preprocessing, and WordCloud for wordcloud plotting

Language: Python - Size: 893 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

taniiicom/kokkai-today

Language: TypeScript - Size: 1.73 MB - Last synced at: 24 days ago - Pushed at: 5 months ago - Stars: 33 - Forks: 1

Boxxxi/merchant-categorization

An AI-powered system to categorize merchants from transactional data using NLP and clustering techniques!

Language: Python - Size: 20.5 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

jdonepud/NLP-SentimentClassification

Language: Jupyter Notebook - Size: 747 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

VivekSagarSingh/U.S.A-Presidential-Speech-Analysis

Text Analytics project using Python's NLTK library.

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HarikrishnanK9/Spam_Email_Detection

Spam Email Detection:NLP Project using NLTK

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

SayamAlt/Fake-News-Classification-using-fine-tuned-BERT

Successfully developed a text classification model to predict whether a given news text is fake or not by fine-tuning a pretrained BERT transformed model imported from Hugging Face.

Language: Jupyter Notebook - Size: 18 MB - Last synced at: 18 days ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

pngo1997/Document-Clustering-using-K-Means

Performs unsupervised clustering on text documents.

Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

aryansk/Email-Spam-Detection-with-Machine-Learning

This machine learning project implements an advanced email spam detection system using Python and scikit-learn. By leveraging Multinomial Naive Bayes classification, the system accurately distinguishes between spam and legitimate (ham) emails.

Language: Jupyter Notebook - Size: 288 KB - Last synced at: 12 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

naksha2-2/NLP_PROJEC

The Word Visualization project is designed to help you analyze and visualize text data. By transforming raw text into meaningful visual representations, it allows you to gain insights into word frequency, relationships, and overall patterns within the text.

Language: Python - Size: 59.6 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

YingtongAamandaWu/Youtube_comments_sentiment_analysis_NLP

Sentiment analysis (NLP machine learning) on YouTube comments of a channel - Outdoor Chef Life.

Language: Jupyter Notebook - Size: 42.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

drogbadvc/st-wordcloud

Streamlit WordCloud React D3

Language: Python - Size: 278 KB - Last synced at: about 19 hours ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 2

gaaniruddha/FIT5197-A4a

This repository contains assignment #4a that was completed as a part of "FIT5147 Data Exploration and Visualisation", taught at Monash Uni in S1 2020.

Language: Jupyter Notebook - Size: 71.6 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

tsv2013/wordcloud

Pure JavaScript wordcloud widget

Language: JavaScript - Size: 192 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

munavarhs/RedditDataAnalysis

Discover underlying themes within Reddit posts using Latent Dirichlet Allocation (LDA)

Language: Jupyter Notebook - Size: 1.95 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

nanxstats/wordcloud

☁️ Word cloud generator with sensible defaults

Language: JavaScript - Size: 315 KB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1

Muyu-Chen/WordCloud-a-easy-used-version

An easy-used wordcloud program made by jieba and python with deleting stopping words and cutting words. it is very easy to use!!!! 支持中文的分词、停用词和词云制作！基于python的结巴jieba分词

Language: Python - Size: 6.01 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

Abhishek-Patidar066/Website-Summarizer

Website Summarizer quickly extracts key information and images from web pages, providing concise summaries for easy understanding , faster reading and easy visualization.

Language: Python - Size: 2.11 MB - Last synced at: 21 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

codeasarjun/easy_NLP

This repo contains a comprehensive tutorial on natural language processing with practical implementations and examples using Python.

Language: Jupyter Notebook - Size: 13.7 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

SaifiNohwal/Sentiment-Analysis

Sentiment analysis of Steve Jobs speech

Language: Jupyter Notebook - Size: 223 KB - Last synced at: 19 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

mutalibcs/Twitter-Sentiment-Analysis

Twitter Sentiment Analysis

Language: Jupyter Notebook - Size: 37.2 MB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 3 - Forks: 0

kkrusere/youTube-comments-Analyzer

Given a YouTube video, do an NLP analysis on the comments

Language: Jupyter Notebook - Size: 1.54 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

krishcy25/SentimentMining-UsingPython-WordCloud-and-TextHero

Sentiment Mining (Unstructured data)- This repository focuses on Creating a Word Cloud (with most frequent/significant words) and Created list of top words by product, K-Means and PCA plot for the reviews based on category of topics as pulled by the textual review analysis of Amazon Customer Reviews on Electronic Products

Language: Jupyter Notebook - Size: 3.85 MB - Last synced at: 7 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

AryanBalaji/TextAnalysis

Conducted sentiment analysis and data visualization on YouTube comments using the TextBlob library, uncovering insights on audience engagement, emoji usage, and video performance metrics. Implemented linear regression models to explore correlations between views, likes, video titles, and audience engagement.

Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

cizodevahm/Twitter_Analysis_NLTK

This repository contains a Jupyter Notebook for analyzing Twitter data. The notebook demonstrates how to extract, process, and visualize tweets using various Python libraries.

Language: Jupyter Notebook - Size: 164 KB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

TravelXML/Amazon-Product-Reviews-Sentiment-Analysis-in-Python

NPL: Amazon Product Reviews Sentiment Analysis in Python

Language: Jupyter Notebook - Size: 4.27 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 0 - Forks: 1

ornellamariestella/Amazon-reviews-scraping-and-sentiment-analysis

Extracting e-commerce insights and recommendations from Amazon product reviews using sentiment analysis and issue categorization

Language: Jupyter Notebook - Size: 296 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

VishalSinhaRoy/Web-Scraping_JustWatch---BeautifulSoup

In this project python is used to collect movie and TV show data from JustWatch. It offers a thorough analysis of the entertainment industry by providing information into streaming platforms, genres, and material availability through web scraping.

Language: Jupyter Notebook - Size: 455 KB - Last synced at: 9 months ago - Pushed at: 9 months 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: 27 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Vieiraanap/analise-sentimentos-eleicoes-2022

Projeto Estágio Supervisionado

Language: Jupyter Notebook - Size: 6.43 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

kingfayzal/EDA-Process-with-Feature-Selection-Boston-Housing-Dataset

EDA and Feature Selection on Boston Housing Dataset This project demonstrates the process of exploratory data analysis (EDA) and feature selection on the Boston Housing Dataset. It includes steps for data loading, exploration, handling missing values, outlier treatment, univariate and bivariate analysis, and using linear regression for feature

Size: 1.88 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

catherman/Data-Science-Miscellaneous

AWS S3 & Sentiment Analysis, Basic Plotting with Matplotlib, & Supervised Learning & Machine Learning with Sklearn.

Language: Jupyter Notebook - Size: 2.96 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

do-me/d3wordcloud

A simple Jupyter (Lab/Notebook) wrapper of Jason Davies d3 JS wordcloud generator https://www.jasondavies.com/wordcloud/

Language: Python - Size: 137 KB - Last synced at: 10 days ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

ariandra34/Restaurant-Reviews-Mining

Finding insights on what could be improved at a restaurant based on reviews. Project contains the implementation, dataset and a written report. Methods utilized include LDA, NER, keyword extraction, length analysis, association rules mining, N-gram analysis and more.

Language: Jupyter Notebook - Size: 1.72 MB - Last synced at: 10 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ANOVAdestroyer/Combined_n-grams_wordcloud

The code allows to plot wordclouds with a combination of n-grams on R (using either wordcloud or wordcloud2 R packages).

Language: R - Size: 312 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Salman-Khan-Mohammed/Tweets-Topic-Modeling-with-LDA-and-Interactive-Word-Cloud-Visualization

This project focuses on analyzing tweets from Twitter using topic modeling techniques and interactive visualizations. It employs Latent Dirichlet Allocation (LDA) to discover topics within the tweet data and generates interactive word clouds based on topic-term strengths derived from the model. Users can explore topics and related tweets interactiv

Language: Jupyter Notebook - Size: 10.6 MB - Last synced at: 29 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

VikashPR/18CSE301J_RA2011003010737

This website tells the story of a nation's GDP through data visualization, providing insights on global GDP, state-wise GDP, sector-wise GDP, and the vision for India's economy. It includes data sets and sources for further reference.

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sahilTiwariiii/Email-Spam-Classifier

This model will tell you weather mail is spam or not

Language: Jupyter Notebook - Size: 1.24 MB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Ronjabati/Marketing-Case-Analysis-of-Robinhood-on-Gamestop-from-the-Gamestop-Opportunistic-Episode

Robinhood - Analysis of the Impact on Gamestop from the Gamestop Opportunistic Episode

Size: 10.9 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

RodlynSilent/SimpleTex

CSIT349 - Applied AI Course Final Project

Language: Python - Size: 54.7 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

kaisugi/spotify-wordcloud 📦

Visualize, share, and keep your favorite music artists on the Web

Language: Python - Size: 6.75 MB - Last synced at: about 17 hours ago - Pushed at: almost 2 years ago - Stars: 14 - Forks: 0

abdumalikh44/Natural-Language-Processing-Practice

Mostly using Google Colab

Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

AndreisSirlene/Sentiment-analysis-reviews

Amazon reviews Sentiment Analysis

Language: Jupyter Notebook - Size: 17.3 MB - Last synced at: 12 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

sushanth10/whatsapp-chat-analysis

Data Analysis and visualisation project on a Whatsapp chat to get insights into the chatting behaviour of members of the group.

Language: Jupyter Notebook - Size: 7.35 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1

Sasidharan2024/Alexa_sentimental_analysis_Project

Alexa Sentiment Analysis interprets user emotions from their interactions with Amazon's virtual assistant. By analyzing speech patterns and language, it categorizes sentiments as positive, negative, or neutral. This enhances Alexa's responses, ensuring more personalized and effective interactions.

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kalu-joy/Threads-app-dataset-analysis

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muhammad3245571106/Palestine-and-Israel-fatalities-comparison

In this case study, I have compared fatalities between Palestine and Israel and explored the trends over time using Python.

Language: Jupyter Notebook - Size: 7.33 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

TomaIjatomi/EDA-on-Data-Science-Job-Salaries

Repo for Exploratory Data Analysis using dataset of Data Science Job Salaries

Language: Jupyter Notebook - Size: 2.89 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 1

rdgldkthu/fdu_wordcloud

crawl post data from Weibo and visualize into wordcloud

Language: Python - Size: 484 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

ADVAIT135/Forage-British-Airways-Data-Science-Job-Sim

This Repository consist of all the Jupyter Notebooks, Images and .CSV files of the tasks that were assigned during the British Airways Data Job Sim hosted on Forage

Language: Jupyter Notebook - Size: 11.5 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - 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

saikrishnabudi/Text-Mining

Data Science - Text Mining Work

Language: Jupyter Notebook - Size: 3.75 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Klaus-in-Tech/youtube-channel-analysis

Data Analysis Project for analysing YouTube Channel

Language: Jupyter Notebook - Size: 1.24 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

Ellie190/Crime-Survey-Analysis

R Dashboard that provides insights on questions asked on the Crime Surveillance System - Survey. The questions are based on how communities feel about crime related to arson, common assault and possession of deadly weapons. Additionally, on how the implementation of smart surveillance systems would help in detecting the crimes mentioned in real-time.

Language: R - Size: 7.66 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

golecalicja/wine-word-clouds

Different wordcloud visualisations based on wine quality dataset

Language: Jupyter Notebook - Size: 47.5 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

MehulSarup/Airlines_Sentiment_Analyzer

Sentiment Analyzer for the customers reviews of British Airways

Language: Jupyter Notebook - Size: 2.28 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 1

Sajid030/anime-recommendation-system

Personalized anime recommendations based on collaborative filtering. Discover your next favorite anime!

Language: Jupyter Notebook - Size: 19.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 2

vidhi-ambwani/Amazon-Customer-Review

Sentiment analysis on Amazon customer reviews and analyzing customer behavior using NLTK and wordclouds

Language: Jupyter Notebook - Size: 6.78 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

kooyiktung/Python_IMDB

Observing Science Fiction Films on IMDB

Language: Jupyter Notebook - Size: 2.21 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

RuttonSarker/E-mail-Spam-Detection-Using-Machine-Learning-Algorithms

Implement binary classification model to detect spam or non-spam email using machine learning algorithms.

Language: Jupyter Notebook - Size: 5.16 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

yogeshwaran-shanmuganathan/Twitter-Sentiment-Analysis

Sentiment analysis of tweets using Word2Vec method and Exploratory Data Analysis in Python

Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

noernimat/nlp_exploratory_data_analysis

EDA using Women's E-Commerce Clothing Reviews Dataset

Language: Jupyter Notebook - Size: 4.63 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

ThomasWongHY/NLP_Project

A project to utilize NLTK toolkit to classify spam comment on Youtube

Language: Python - Size: 38.1 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Brandonrai/wordcloud-generator

This repository contains a Python script that generates Word Clouds from text. The script uses matplotlib and wordcloud libraries to create and display the Word Cloud. It's customizable and easy to use. Just update the text in main.py and run the script to see your text transformed into a Word Cloud!

Language: Python - Size: 2.93 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

lkfink/Dundun2_labels

Code to accompany paper: "Features underlying speech versus music as categories of auditory experience"

Language: MATLAB - Size: 44.9 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

quzeem91/Project-Wrangle-and-Analyze-Data

A Data wrangling and Cleaning Project That Involves Gathering Data from Different sources Including querying Twitter's API using tweepy

Language: Jupyter Notebook - Size: 5.97 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

prak112/document-wordcloud

Insights of commonly used words in the document represented through a word cloud

Language: Jupyter Notebook - Size: 4.28 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

afrah10shabbeer/WhatsApp-chat-analysis

WhatsApp Chat Analysis is a process of extracting insights and statistics from a WhatsApp chat conversation. It involves analyzing the text messages, media messages, emojis, links, and other information in the chat to gain valuable insights about the conversation.

Language: Python - Size: 571 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

samattwood9/word-cloud-cybok

This repository can be used to make word clouds relating to the Cyber Security Body of Knowledge. Alternatively, you can download pre-made clouds from the images folder.

Language: Jupyter Notebook - Size: 2.79 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

ZeljkoDe/alas-assignment

Alas doo - Assignemnt

Language: JavaScript - Size: 317 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

MiSaengg/gunhee-RnD-space

R&D for datasets for book genres

Language: Jupyter Notebook - Size: 17.1 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

akthammomani/MAXELLA-APP-Movies-Tensorflow-Recommenders-TFRS

Build MAXELLA App to recommend Movies using TensorFlow Recommenders (TFRS)

Language: Jupyter Notebook - Size: 49.9 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 2

a-tabaza/arabic-tweet-processing-and-vizualization

Basic NLP tasks performed on Arabic Tweets in addition to some data vizualizations

Language: Jupyter Notebook - Size: 3.84 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Arturomtz8/word-frequency-in-subreddit

Language: Python - Size: 45.9 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

tymscar/javascript-wordcloud

A javascript wordcloud visualiser running in your browser!

Language: JavaScript - Size: 618 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1

CodeupGourmands/Michelin_NLP_Capstone

Codeup Capstone Team Project utilizing Natural Language Processing (NLP) to predict Michelin star ratings of Michelin awardee restaurants using Michelin Guide review text

Language: Jupyter Notebook - Size: 148 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

prohogiy90/British_Airways_virtual_internship

Web scraping to gain company insights. Scraping and analysing customer review data to uncover findings for British Airways

Language: Jupyter Notebook - Size: 4.66 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

DamianBisewski/tweenspector

TweeNspector is a Twitter analyzer written in Python. It enables searching for most frequently used words, interconnections between users and statistics about users.

Language: Python - Size: 432 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1

roshancyriacmathew/Word-cloud-tutorial-code

This code explains how to create and customize word clouds in python.

Language: Jupyter Notebook - Size: 1.18 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Lakshita028/Text-Analysis-GUI

This NLP based Text Analyser is a prototype built on Tkinter that'll help individuals to easily analyse large text files and further generate and visualize its word cloud.

Language: Jupyter Notebook - Size: 19.4 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

momcancode/Cuisine-Demystifier-NLP-ML-Project

Demystify Cuisine and Culture From Ingredients using Natural Language Processing and Machine Learning | Python, Pandas, Matplotlib, NLTK, scikit-learn, webscraping, Python Flask-powered API backed by PostgreSQL, Front-end with HTML, CSS, and Javascript

Language: Jupyter Notebook - Size: 180 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0