Simple NLP based project without any use of AI

Last update: Apr 26, 2022

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Overview

ProjectMarkov

                               Simple NLP based project without any use of AI
                                       (Application of Markov Chains)

Intro (What I'm actually doing):

Scrape Reddit(r/LifeProTips) for content. Collect data and process them for NLP. Use Markov Chains to generate content using the processed data. Build a website to publish/host the same.

Use case: To generate stuff(Content)

What I'll Learn in the end of the project:

Website Scrapping
Working of Markov Chains
Django
Git and Github

Steps for Completion:

Scrape Reddit(r/LifeProTips) for Content.
Store the scrapped content into a csv file.
Pre Process the data for NLP work.

Owner

Shripad Rao

2nd year Engineering Student at BMS College of Engineering. Interested in Data Science and software engineering.

GitHub Repository

IEEEXtreme15.0 Questions And Answers

IEEEXtreme15.0 Questions And Answers IEEEXtreme is a global challenge in which teams of IEEE Student members – advised and proctored by an IEEE member

15 Oct 24, 2022

PhoNLP: A BERT-based multi-task learning toolkit for part-of-speech tagging, named entity recognition and dependency parsing

PhoNLP is a multi-task learning model for joint part-of-speech (POS) tagging, named entity recognition (NER) and dependency parsing. Experiments on Vietnamese benchmark datasets show that PhoNLP prod

109 Dec 02, 2022

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

UIS-RNN Overview This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm. UIS-RNN solves the problem of s

1.4k Dec 28, 2022

Pre-Training with Whole Word Masking for Chinese BERT

7.7k Dec 31, 2022

Simple NLP based project without any use of AI

Related tags

Overview

ProjectMarkov

Owner

Shripad Rao

IEEEXtreme15.0 Questions And Answers

PhoNLP: A BERT-based multi-task learning toolkit for part-of-speech tagging, named entity recognition and dependency parsing

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

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Code for our paper "Transfer Learning for Sequence Generation: from Single-source to Multi-source" in ACL 2021.

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Demo programs for the Talking Head Anime from a Single Image 2: More Expressive project.

🧪 Cutting-edge experimental spaCy components and features

Pipeline for training LSA models using Scikit-Learn.

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

Pre-Training with Whole Word Masking for Chinese BERT