Natural Language Processing with TensorFlow

The traditional approach to Natural Language Processing

The traditional or classical approach to solving NLP is a sequential flow of several key steps, and it is a statistical approach. When we take a closer look at a traditional NLP learning model, we will be able to see a set of distinct tasks taking place, such as preprocessing data by removing unwanted data, feature engineering to get good numerical representations of textual data, learning to use machine learning algorithms with the aid of training data, and predicting outputs for novel unfamiliar data. Of these, feature engineering was the most time-consuming and crucial step for obtaining good performance on a given NLP task.

Understanding the traditional approach

The traditional approach ...