Reader small image

You're reading from  Natural Language Processing with Python Quick Start Guide

Product typeBook
Published inNov 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781789130386
Edition1st Edition
Languages
Right arrow
Author (1)
Nirant Kasliwal
Nirant Kasliwal
author image
Nirant Kasliwal

Nirant Kasliwal maintains an awesome list of NLP natural language processing resources. GitHub's machine learning collection features this as the go-to guide. Nobel Laureate Dr. Paul Romer found his programming notes on Jupyter Notebooks helpful. Nirant won the first ever NLP Google Kaggle Kernel Award. At Soroco, image segmentation and intent categorization are the challenges he works with. His state-of-the-art language modeling results are available as Hindi2vec.
Read more about Nirant Kasliwal

Right arrow

spaCy compared with NLTK and CoreNLP

The following is a comparison of the NLTK and CoreNLP:

Feature Spacy NLTK CoreNLP
Native Python support/API Y Y Y
Multi-language support Y Y Y
Tokenization Y Y Y
Part-of-speech tagging Y Y Y
Sentence segmentation Y Y Y
Dependency parsing Y N Y
Entity recognition Y Y Y
Integrated word vectors Y N N
Sentiment analysis Y Y Y
Coreference resolution N N Y

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Natural Language Processing with Python Quick Start Guide
Published in: Nov 2018Publisher: PacktISBN-13: 9781789130386

Author (1)

author image
Nirant Kasliwal

Nirant Kasliwal maintains an awesome list of NLP natural language processing resources. GitHub's machine learning collection features this as the go-to guide. Nobel Laureate Dr. Paul Romer found his programming notes on Jupyter Notebooks helpful. Nirant won the first ever NLP Google Kaggle Kernel Award. At Soroco, image segmentation and intent categorization are the challenges he works with. His state-of-the-art language modeling results are available as Hindi2vec.
Read more about Nirant Kasliwal