Text Summarization and Keyword Extraction from customer reviews in French (Part 1 / 3)
<p>Online review community such as <a href="https://www.trustpilot.com/" rel="noopener ugc nofollow" target="_blank">Trustpilot</a> gives an NLP enthusiast an infinite dataset as a playgrond to perform NLP tasks. Our aim is that we are leveraging these datasets to perform 2 key tasks:</p>
<ul>
<li><strong>Summarization: </strong>to have the pre-trained model capture only the most important parts of the text</li>
<li><strong>Key Word Extraction: </strong>to extract not only the most relevant key words, but also the proper nouns discussed in the reviews for further CRM analysis</li>
</ul>
<p>The output we should achieve at the end of this series is to have the model return some output like the photo below (as well as running <a href="https://huggingface.co/spaces/Carlosito16/HXM-summarization" rel="noopener ugc nofollow" target="_blank">here</a> on the HuggingFace). However, to make the content solid, this first blog of the series would focus only on the <strong>TASK1: Summarization</strong></p>
<p><a href="https://medium.com/@ka.kaewnoparat/text-summarization-and-key-word-extraction-from-customer-reviews-in-french-part-1-3-d668debc6f62"><strong>Website</strong></a></p>