Analyse Customer Reviews with Natural Language Processing.

Author(s): Flo

Originally published on Towards AI.

Using CountVectorizer, an implementation of bag-of-words

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Image by Flo on OpenSea, UX Natural Language Processing

In this article, we build our machine learning model to guess customer reviews tone based on historical data. It is a classification problem solved with Natural Language Processing (NLP).

The purpose of NLP is to teach languages to computers by developing algorithms and models to allow them to read and understand the text.Furthermore, it allows to generate text.

The article contains six parts:

Text Preprocessing: Reformat our input data.Text Representation: Transform our data to make it readable by the machine learning program. We use the CountVectorizer technique, an implementation of bag-of-words.Training the model: Split… Read the full blog for free on Medium.

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Published via Towards AI