EDA and text classification of amazon topical chat dataset
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Updated
Aug 1, 2020 - Jupyter Notebook
EDA and text classification of amazon topical chat dataset
Naver News Word Cloud 🌟✨ Transforming Naver news articles into captivating word clouds!
A python script to generate word clouds from text file.
Resume classification is the task that automatically categorizes resumes or CVs into predefined domain categories or classes based on their content. This task is essential for the job recruitment process, particularly when organizations receive a large number of applications for various positions.
This repo is about Natural Language Processing (NLP).
Used the Natural Language Processing to summarize the articles based on sentence ranking. The summary of the articles is an extractive summary.
Natural Language Processing using sentiment analysis to understand factors that influence prices of crypto currencies
A library to retrieve tweets from the Twitter API and provide various NLP scripting abilities.
💎Visualization of data in python using seaborn and matplotlib
Makes a word cloud shaped like a mana symbol for each of the 5 colors in Magic: the Gathering.
Non-Negative Matrix Tri-Factorization for Co-clustering
Learn how to collect, clean and categorize data for your projects. Then extract the key textual features and present them visually.
基于《明日方舟》的趣味课题 : ) / Interesting trials and trifles on the game Arknights : )
The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention.
A Support Vector Machine (SVM) model to detect whether a Tweet describing news events is fake or real. This is part of a coursework assignment for the Machine Learning Technologies module @ University of Southampton
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