Machine Learning Accelerator

Natural Language Processing

Overview

MLA Project

Techniques

Modeling

Applications

Overview

Natural Language Processing is an area of machine learning concerned with programming computers to process natural language data.

MLA Project

Objective

Given a product review, predict whether the product is a safety hazard

Dataset

Product reviews with id, date, review, review title, and star rating

Tasks

Preprocess data, process text, build model, train model, evaluate model results, make predictions

Techniques

Techniques for working with natural language data include:

• Pre-processing
• Post-processing
• Feature Engineering
• Dimensionality Reduction

Modeling

Models used for NLP include:

• K-Nearest Neighbors 
• Naive Bayes
• Linear Regression
• Stochastic Gradient Descent
• Neural Networks

Applications

General applications include:

• Sentiment analysis
• Text Suggestion
• Entity recognition
• Translation
• Summarization

Specific applications include:

• Hazmat
  • Bear Spray
  • Material Classification
  • Waste processing (bucketing/binning)