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Scikit-Learn

Complete Guide to Topic Modeling

Complete Guide to Topic Modeling

What is Topic Modeling? Topic modelling, in the context of Natural Language Processing, is described as a method of uncovering hidden structure in a collection of texts. Although that is indeed true it is also a pretty useless definition. Let’s define topic modeling in more practical terms.

Training a NER System Using a Large Dataset

In a previous article, we studied training a NER (Named-Entity-Recognition) system from the ground up, using the Groningen Meaning Bank Corpus. This article is a continuation of that tutorial. The main purpose of this extension to training a NER is to: Replace the classifier with a Scikit-Learn Classifier Train a NER on a larger subset […]

Recipe: Text classification using NLTK and scikit-learn

Text classification is most probably, the most encountered Natural Language Processing task. It can be described as assigning texts to an appropriate bucket. A sports article should go in SPORT_NEWS, and a medical prescription should go in MEDICAL_PRESCRIPTIONS. To train a text classifier, we need some annotated data. This training data can be obtained through […]

NLP-FOR-HACKERS

The NLP-FOR-HACKERS Book

NLP-FOR-HACKERS Book

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