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

ChunkeyBert is a minimal and easy-to-use keyword extraction technique that leverages BERT embeddings for unsupervised keyphrase extraction from long text documents.

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.

Advanced Programming Techniques incl Beatles lyric analysis

A curated set of codes to begin NLP created to understand the basics of regular expressions and tokenizing with Word2vec and other llibraries

A Wikipedia sourced search engine

Keyword extraction and keyword matching from paragraphs

Using NLP and text mining techniques(TF-IDF) to analyse and rate Yelp review data

Scraping google reviews of "RedCarpet" app and analysing most appreciated features/ issue areas

In this project, you will learn how to extract keywords or words that are more important than others in your sentence easily and implement them in an actual project. It is the plant keyword extraction project, the plant characterization word.