The Ultimate Guide to NLP

Blog series

NLP- a subfield of AI that helps machine understand a natural human language is an important tool for organizations that deals with a large number of unstructured texts and other forms of data.

Inculcation of NLP tools can help organizations analyze, procure worthy insights, and automate. This series shall discuss key components of NLP/NLG and the difference between NLP and NLU.

AI & Machine Learning

Text Preprocessing For NLP and Machine Learning Tasks

Preparing a text for analysis is a complicated art which requires choosing optimal tools depending on the text properties and the task. There are multiple pre-built libraries and services for the most popular languages used in data science that help automate text pre-processing, however, certain steps will still require manually mapping terms, rules and words.

AI & Machine Learning

A Comprehensive Guide to Natural Language Generation

Natural Language Generation capabilities have become the de facto option as analytical platforms try to democratize data analytics and help anyone understand their data. Close to human narratives automatically explain insights that otherwise could be lost in tables, charts, and graphs via natural language and act as a companion throughout the data discovery process. Besides, NLG coupled with NLP are the core of chatbots and other automated chats and assistants that provide us with everyday support.

AI & Machine Learning

NLP vs. NLU: From Understanding a Language to Its Processing

In computer-aided processing of natural languages, shall the concept of natural language processing give way to natural language understanding? Or is the relation between the two concepts subtler and more complicated that merely linear progressing of a technology? Though sometimes used interchangeably, they are actually two different concepts that have some overlap. NLP and NLU are opposites of a lot of other data mining techniques. In this post, we’ll scrutinize over the concepts of NLP and NLU and their niches in the AI-related technology.

Big Data, Cloud & DevOps

The Use of NLP to Extract Unstructured Medical Data From Text

When working in healthcare, a lot of the relevant information for making accurate predictions and recommendations is only available in free-text clinical notes. Much of this data is trapped in free-text documents in unstructured form. This data is needed in order to make healthcare decisions. Hence, it is important to be able to extract data in the best possible way such that the information obtained can be analyzed and used. State-of-the-art NLP algorithms can extract clinical data from text using deep learning techniques such as healthcare-specific word embeddings, named entity recognition models, and entity resolution models.

AI & Machine Learning

What is Natural Language Processing And Generation (NLP/NLG)?

Behind the revolution in digital assistants and other conversational interfaces are natural language processing and generation (NLP/NLG), two branches of machine learning that involve converting human language to computer commands and vice versa. NLP and NLG have removed many of the barriers between humans and computers, not only enabling them to understand and interact with each other, but also creating new opportunities to augment human intelligence and accomplish tasks that were impossible before. Maybe NLP and NLG will remain focused on fulfilling more and more utilitarian use cases.

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