We're going to perform sentiment analysis and deploy machine learning techniques to extract a user’s sentiment from the content of their tweets.
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Updated
Jun 10, 2020 - Python
We're going to perform sentiment analysis and deploy machine learning techniques to extract a user’s sentiment from the content of their tweets.
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.
Content-based article recommendation with NLP images via Unsplash API
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
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
Applied Natural Language Processing graduate course.
Machine Learning Project. Please refer to my presentation-https://github.com/gongl1/projectdemo3/blob/main/Pattern%20Patent_ML.pptx - python, transformers, gpt2, nlp, sk-learn
NER using Huggingface model. Implementation of HF Tokeniser, Trainer and Pipeline.
Advances Data Science
Text-Utils is basically an AI based next word predictor.
WIKIPEDIA Text_Summarization code
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
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