Although there are different ways of removing stop words from a document (or a bundle of documents), an easy way is to do so with the NLTK (Natural Language Toolkit) on Python. You can use the stopwords lists from NLTK and the build in functionality to do the work. A simple example would be: >>> […]Read more
I was given a chance to co-author (with Prof. Dr. D. Doherr) an article for the scientific journal “Praxis der Informationsverarbeitung und Kommunikation”. The article describes some innovations in the Humbold Digital Library Project in the field of Information Retrieval and Information Representation.
The article describes some methods that were used in Humboldt Digital Library to improve the findability of the information within the works of Alexander von Humboldt.Read more
Stop Words are words which do not contain important significance to be used in Search Queries. Usually these words are filtered out from search queries because they return vast amount of unnecessary information. A better definition is provided below: “Words that do not appear in the index in a particular database because they are either […]Read more