There are 2 repositories under textanalytics topic.
legisTaiwan: An Interface to Access Taiwan Legislative API in R 台灣立法院國會系統 API
📷 Generates Text Analytics using Bag of Words. Upload your data and it will suggest the relevant Newsgroups for you.
This repository contains my grad-school project for a text analysis app.
The Product Review Sentiment Analysis project that leverages NLP and ML techniques to classify customer reviews into positive, negative or neutral sentiments. The application provides insights into customer feedback, helping to identify product strengths and weaknesses and enhance the overall customer experience.
Sentiment Analysis of Tweets for a renowned shoe brand
A project that harnesses the Stanford NLP library to gauge sentiment from provided text via an intuitive graphical interface.
Extracting, Cleaning and Pre-processing text data using NLTK
A project we developed during the Text Analytics and Deep Learning course with the goal of semi-automating the evaluation of German political party programs.
ANOVA, PCA, Machine Learning Algorithms, Ensemble techniques - Bagging, Boosting and Voting Classifier, Predictive Modelling, Text analytics, Data Mining Techniques
Data Analytics Project of AI Trends in Tech news using Python
Data Science Client Work ....
Sentiment and Time series Analysis for Pfizer & BioNTech COVID-19 Vaccine
Hoax Data Classification Text Analytics
Scraped ice-cream shops information on Yelp with Beautiful Soup, used Pandas to output the result in a table and visualized the ice-cream shops rating with Matplotlib.
Task-1 : Sentiment Analysis (Text Analysis+ Sentiment Analysis+ LDA model) Task-2: Random Forest Model for booking completion
Language processing classification and prediciton ML project
This is a personal project that i created for RMDS Data Scientist Program.
A repository for a Text Analytics project for movies classification.
Sentiment analysis :Joe Biden's statements of 18th January,2024.
Text Analysis which covers - text data preparation, frequency analysis, word correlation, Sentiment Analysis, and Topic modelling using Latent Dirichlet Allocation (LDA). Includes intuition for each part, and some explanations for how to interpret the outputs.
This repository is an addition to my bachelor's thesis, including some files that I used in my work and a Web Appendix with additional insights.
In this project, I conducted a sentiment analysis of user comments related to the movie "The Little Mermaid." The analysis aimed to understand the online community's sentiment and engagement surrounding this highly anticipated film release.
Project of Text Analytics exam (Data Science & Business Informatics @ UniPI)
To understand buyers purchase pattern on specific category and to get insights on the reviews by age group, sentiments.
My codes for CS 688 Web Analytics and mining
Microsoft Azure Project
Sentiment Analysis for a Corpus of data
Suits (American TV series) | Why it ended! Is it the writing? | Text Analytics on the Subtitles(en) to understand if its true!
AWS Comprehend - Python Implementation using boto3