Tag: NLP libraries

Intermediate, Libraries, Machine Learning, NLP, Programming, Python, Text, Unstructured Data Leave a comment

Natural Language Processing Made Easy – using SpaCy (​in Python)

Introduction Natural Language Processing is one of the principal areas of Artificial Intelligence. NLP plays a critical role in many intelligent applications such as automated chat bots, article summarizers, multi-lingual translation and opinion identification from data. Every industry which exploits NLP to make sense of unstructured text data, not just demands accuracy, but also swiftness in obtaining results. Natural Language Processing is a capacious field, some of the tasks in nlp are – text classification, entity detection, machine translation, question […]

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Classification, Intermediate, Machine Learning, NLP, Python, Supervised, Technique, Text, Unstructured Data Leave a comment

Ultimate Guide to Understand and Implement Natural Language Processing (with codes in Python)

Overview Complete guide on natural language processing (NLP) in Python Learn various techniques for implementing NLP including parsing & text processing Understand how to use NLP for text feature engineering   Introduction According to industry estimates, only 21% of the available data is present in structured form. Data is being generated as we speak, as we tweet, as we send messages on Whatsapp and in various other activities. Majority of this data exists in the textual form, which is highly unstructured […]

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Beginner, Infographic, Infographics, NLP Leave a comment

A Complete List of Important Natural Language Processing Frameworks you should Know (NLP Infographic)

Overview Here’s a list of the most important Natural Language Processing (NLP) frameworks you need to know in the last two years From Google AI’s Transformer to Facebook Research’s XLM/mBERT, we chart the rise of NLP through the lens of these seismic breakthroughs   Introduction Have you heard about the latest Natural Language Processing framework that was released recently? I don’t blame you if you’re still catching up with the superb StanfordNLP library or the PyTorch-Transformers framework! There has been […]

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