wordcloud-visualization
There are 120 repositories under wordcloud-visualization topic.
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
Dashboard-in-Streamlit
Web-based dashboard in Streamlit and Plotly for Sentiment Analysis of Tweets about American Airlines
Scrapping-Tokopedia
Web Scrapping - Tokopedia
Website-Summarizer
Website Summarizer quickly extracts key information and images from web pages, providing concise summaries for easy understanding , faster reading and easy visualization.
Text-Data-Analysis
In-depth analysis of YouTube Data
Text-Clustering-and-Visualization
This project processes and clusters text data using BERT embeddings, K-means, and dimensionality reduction. Visualizations include t-SNE plots and word clouds. Dataset and embeddings links are provided.
Amazon-Product-Reviews-Sentiment-Analysis-in-Python
NPL: Amazon Product Reviews Sentiment Analysis in Python
British_Airways_Data_Science
Sentiment analysis using NLP | Topic Modelling | Word Cloud | Customer buying behavior recognition using Random Forest
Amazon-reviews-scraping-and-sentiment-analysis
Extracting e-commerce insights and recommendations from Amazon product reviews using sentiment analysis and issue categorization
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
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.
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).
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
Email-Spam-Classifier
This model will tell you weather mail is spam or not
Marketing-Case-Analysis-of-Robinhood-on-Gamestop-from-the-Gamestop-Opportunistic-Episode
Robinhood - Analysis of the Impact on Gamestop from the Gamestop Opportunistic Episode
SimpleTex
CSIT349 - Applied AI Course Final Project
SpamGuard-SMS-Spam-Classification
"Empower your messaging experience with our spam SMS classifier! Instantly distinguish between spam and legitimate messages, helping you prioritize and manage your inbox effectively."
Natural-Language-Processing-Practice
Mostly using Google Colab
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.
Amazon_Alexa_Review_NLTK
In this project, a sentiment analysis model was developed to analyze Amazon Alexa reviews using NLP techniques and machine learning classifiers. Through data preprocessing, model training, and deployment, actionable insights were derived to understand customer sentiments effectively.
youTube-comments-Analyzer
Given a YouTube video, do an NLP analysis on the comments
wordcloud
Pure JavaScript wordcloud widget
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.
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.
Data-Analysis-Projects
Data Anlaysis Projects
Text-Mining
Data Science - Text Mining Work
U.S.A-Presidential-Speech-Analysis
Text Analytics project using Python's NLTK library.
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.
Spam_Email_Detection
Spam Email Detection:NLP Project using NLTK
Twitter-Sentiment-Analysis
Twitter Tweet's Sentiment Analysis using NLP
Youtube_comments_sentiment_analysis_NLP
Sentiment analysis (NLP machine learning) on YouTube comments of a channel - Outdoor Chef Life.
NLP_Project
A project to utilize NLTK toolkit to classify spam comment on Youtube
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!
MovieLens_DataSet
Analyzing MovieLens 25M Dataset and MovieLens 10M Dataset and building a Movie Recommendation System using Pearson Coefficient.
text-summarizer
The project is a Python implementation of a Text Summarizer. It uses various natural language processing (NLP) techniques to generate a summary of a given text.