updated description

README.rst

@@ -53,7 +53,7 @@ On the command-line:
 Features
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-Scrapes the main text of web pages while preserving some structure. Also known as boilerplate removal, DOM-based content extraction, main content identification, HTML text cleaning. The purpose is to find relevant and original text sections of a web page and also to remove the noise consisting of recurring elements (headers and footers, ads, links/blogroll, etc.)
+Scrapes the main text of web pages while preserving some structure. Also known as web scraping, boilerplate removal or boilerplate detection, DOM-based content extraction, main content identification, web page template detection, web page cleaning, web content extraction, or HTML text cleaning. The purpose is to find relevant sections of a web page, which is usually the part displayed centrally, without the left or right bars, the header or the footer, but including potential titles and comments. In addition, the extraction focuses on original text and can help with the noise consisting of recurring elements (headers and footers, ads, links/blogroll, etc.) Distinguishing between the whole page and the main text content can help alleviating many quality problems related to web texts.
 
 Because it relies on `lxml <http://lxml.de/>`_, trafilatura is comparatively fast. It is also robust, as the additional generic `jusText algorithm <http://corpus.tools/wiki/Justext>`_ is used as a backup solution.
 
@@ -160,7 +160,7 @@ Additional information
 Context
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-This module is part of methods to derive metadata from web documents in order to build text corpora for computational linguistic and NLP analysis. For more information:
+This module is part of methods to derive information from web documents in order to build text databases for research (chiefly linguistic analysis and natural language processing). A significant challenge resides in the ability to extract and pre-process web texts to meet scientific expectations. For more information:
 
 -  Barbaresi, Adrien. "`The Vast and the Focused: On the need for domain-focused web corpora <https://ids-pub.bsz-bw.de/files/9025/Barbaresi_The_Vast_and_the_Focused_2019.pdf>`_", Proceedings of the `7th Workshop on Challenges in the Management of Large Corpora (CMLC-7) <http://corpora.ids-mannheim.de/cmlc-2019.html>`_, 2019.
 -  Barbaresi, Adrien. "`Efficient construction of metadata-enhanced web corpora <https://hal.archives-ouvertes.fr/hal-01371704v2/document>`_", Proceedings of the `10th Web as Corpus Workshop (WAC-X) <https://www.sigwac.org.uk/wiki/WAC-X>`_, 2016.