NLP related concepts, challenges and datasets
-
Updated
Jul 16, 2019 - Jupyter Notebook
NLP related concepts, challenges and datasets
Rapid Automated Evaluation of Answer Scripts
Orodje, ki generira seznam najbolj pogostih lem v slovenskem jeziku
Named Entity Recognition with NER Dataset: Our project focuses on implementing Named Entity Recognition (NER) using a specialized NER dataset. Named Entity Recognition is a natural language processing (NLP) task that involves identifying and categorizing entities (such as names of persons, organizations, locations, etc.) within a body of text.
Sort and clean dataset by specified index
Rapid Automated Evaluation of Answer Scripts
Use TV Shows and Movies listed on Netflix to recommend movies
This project scraped README markdown files from Github repos and we used natural language processing to filter and create datasets for each programming language. Using these datasets from over 30,000 README's we were able to predict what programming language was used based on the composition of the README text.
Classified a dataset of Spam and Non-Spam text messages
Content-based article recommendation with NLP images via Unsplash API
Projet de scrapping sur PubMed et semantic scolaire
Our project uses a variety of machine learning and deep learning models to forecast supermarkets’ income for the following day based on a multitude of product categories. The main goal of our project is to use feature engineering techniques to improve forecasting accuracy.
simple transform french sentence to keywords string
WIKIPEDIA Text_Summarization code
Sentiment Analysis of Tweets using R
Natural Language Processing (NLP) and Information Retrieval (IR) Resources I have used and that have helped me work on a search engine for the past 1.9 years.
The project was for Purdue's freshmen only Hackathon - Hello World 2020. This full-stack website uses various python libraries and Google fact checker API to generate relevant URLs related to user claims.
Resume to Job description matcher with NLP using spacy's EntityRuler
In this research project, the goal is to extract information from tweets posted on Twitter social media during disasters and provide knowledge extracted to the organizations, charities and in turn, help them take decisions about disaster recovery. Also, the information extraction process can be automated and will be discussed in the future scope…
Add a description, image, and links to the nlp-keywords-extraction topic page so that developers can more easily learn about it.
To associate your repository with the nlp-keywords-extraction topic, visit your repo's landing page and select "manage topics."