IMDb-Scraping is for retrieving user-generated movie text reviews as well as relevant movie characteristics from imdb.com.
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Updated
Sep 6, 2020 - Python
IMDb-Scraping is for retrieving user-generated movie text reviews as well as relevant movie characteristics from imdb.com.
Machine Learning - Content Based Recommendation System
Just a bunch of experiments with embedded graph databases
28237-Intent-type-single-sentence-annotation-data
This is a simple graphical representation of Zipf's Law using term frequencies, calculated for three different text data.
This project is built using React. The data is fetched online in a text form and then split them into chunks of arrays depending on the Table of Contents. For example, main headings were put in one array and subheading in another array and the content in different array. In the end data is displayed on the screen.
My demonstration of RNN, LSTM, Dropouts, and Data Augmentation Techniques for Texts using Spam and Ham Dataset.
An algorithm to generate the word cloud for time-varying dynamical text data in order to minimize the relative movement of the word over time.
13-Modules-Entity-Name-Single-sentence-Annotation-Data
Read and write fixed-width format data.
8178-Chinese-Social-Comments-Events-Annotation-Data
Extract technical skills from data of skills
This repository hosts a diverse NLP dataset comprising 1,000 stories spanning 100 genres for comprehensive language understanding tasks.
Systematic Literature Review: Machine Learning Methods in Emotion Classification in Textual Data
Read morning pages into a data frame in R.
80000-sets-Multi-domain-Customer-Service-Dialogue-Text-Data
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