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Scikit-Learn

Introduction to Deep Learning

Introduction to Deep Learning – Sentiment Analysis

Deep Learning is one of those hyper-hyped subjects that everybody is talking about and everybody claims they’re doing. In certain cases, startups just need to mention they use Deep Learning and they instantly get appreciation. Deep Learning is indeed a powerful technology, but it’s not an answer to every problem. It’s also not magic like […]

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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