Natural Language Processing Projects by Akshay Kulkarni & Adarsha Shivananda & Anoosh Kulkarni

Author:Akshay Kulkarni & Adarsha Shivananda & Anoosh Kulkarni
Language: eng
Format: epub
ISBN: 9781484273869
Publisher: Apress

Methodology and Approach

Product classification is one of the classic problem statements in the e-commerce industry, and there are multiple approaches to solve it. Let’s use the following approaches.Image classification

Text classification

The problem can be solved in two ways. There are images for every item mapped to a particular category. We need to train deep learning algorithms and use that machine to predict the category whenever there is a new image of the product. But the challenge is, not every time seller provides the image which becomes a problem.

The other approach is multiclass text classification. Instead of images, we need to consider the product description as features and product category as a label to build the classifier. The idea is that a product description has detailed information about a particular product, and with some confidence, the text present in the description can predict the category.

Figure 6-2 shows the methodology adopted for an e-commerce product data set classification using the text classification approach.

Figure 6-2Flow diagram

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