Terminology EXtraction and Text Analytics (TEXTA) Toolkit
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Updated
Nov 17, 2022 - Python
Terminology EXtraction and Text Analytics (TEXTA) Toolkit
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.
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
Data Science Client Work ....
Data Analytics Project of AI Trends in Tech news using Python
ANOVA, PCA, Machine Learning Algorithms, Ensemble techniques - Bagging, Boosting and Voting Classifier, Predictive Modelling, Text analytics, Data Mining Techniques
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.
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.
This is a personal project that i created for RMDS Data Scientist Program.
Sentiment Analysis for a Corpus of data
Data Analytics For Information Professionals
Task-1 : Sentiment Analysis (Text Analysis+ Sentiment Analysis+ LDA model) Task-2: Random Forest Model for booking completion
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.
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