Natural Language Processing

14 Best Natural Language Processing Tools in the World Today

Last Updated on May 23, 2022

Natural language processing (NLP) is a field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) languages. It includes word and sentence tokenization, text classification and sentiment analysis, spelling correction, information extraction, parsing, meaning extraction, and question answering.

In our formative years, we master the basics of spoken and written language. However, the vast majority of us do not progress past some basic processing rules when we learn how to handle text in our applications. Yet unstructured software comprises the majority of the data we see. NLP is the technology for dealing with our all-pervasive product: human language, as it appears in social media, emails, web pages, tweets, product descriptions, newspaper stories, and scientific articles, in thousands of languages and variants.

Many challenges in NLP involve natural language understanding. In other words, computers learn how to determine meaning from human or natural language input, and others involve natural language generation.

There are some excellent open source software to solve common problems in text processing like sentiment analysis, topic identification, automatic labeling of content, and more.

To provide an insight into the quality of software that is available, we have compiled a list of 14 excellent open source NLP tools. Hopefully, there will be something of interest here for anyone who wants to use these tools to solve practical problems. Here’s our fine-tuned recommendations.

Best Free Natural Language Processing Tools

Now, let’s explore the 14 NLP tools at hand. For each title we have compiled its own portal page, a full description with an in-depth analysis of its features, together with links to relevant resources.

Natural Language Processing
Natural Language ToolkitSuite of open source Python modules, data sets and tutorials
Stanford CoreNLPExtensible annotation-based NLP pipeline
spaCyIndustrial strength natural language processing
PyTorch-TransformersLibrary of state-of-the-art pre-trained models
MITIEMIT Information Extraction
flairSimple framework for state-of-the-art NLP
AllenNLPApache 2.0 NLP research library
Apache OpenNLPMachine learning based toolkit
Apache LuceneFull-featured information retrieval software library
tidytextText mining using dplyr, ggplot2, and other tidy tools
GATEGeneral Architecture for Text Engineering
text2vecFramework with API for text analysis and NLP
quantedaR package for Quantitative Analysis of Textual Data
MosesStatistical machine translation system
Best Free and Open Source SoftwareRead our complete collection of recommended free and open source software. Our curated compilation covers all categories of software.

The software collection forms part of our series of informative articles for Linux enthusiasts. There are hundreds of in-depth reviews, open source alternatives to proprietary software from large corporations like Google, Microsoft, Apple, Adobe, IBM, Cisco, Oracle, and Autodesk.

There are also fun things to try, hardware, free programming books and tutorials, and much more.
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4 years ago

Hi, where is weka?