NLP

Showing 1-4 of 4 results
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NLP With Google Cloud Natural Language API

by Maximilian Hopf

Natural language processing (NLP) has become one of the most researched subjects in the field of AI. This interest is driven by applications that have been brought to market in recent years. In this article, Toptal Deep Learning Developer Maximilian Hopf introduces you to Google’s Natural Language API and Google AutoML Natural Language.

13 minute readContinue Reading
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Four Pitfalls of Sentiment Analysis Accuracy

by Rudolf Eremyan

Manually gathering information about user-generated data is time-consuming, to say the least. That's why more organizations are turning to automatic sentiment analysis methods—but basic models don't always cut it. In this article, Toptal Freelance Data Scientist Rudolf Eremyan gives an overview of some sentiment analysis gotchas and what can be done to address them.

6 minute readContinue Reading
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Build a Text Classification Program: An NLP Tutorial

by Shanglun Wang

Deep learning has proven its power across many domains, from beating humans at complex board games to synthesizing music. It has also been used extensively in natural language processing. In this article, Toptal Freelance Software Engineer Shanglun (Sean) Wang shows how easy it is to build a text classification program using different techniques and how well they perform against each other.

7 minute readContinue Reading
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How to Build a Natural Language Processing App

by Shanglun Wang

Natural language is increasingly becoming a viable way of interacting with smart software. Google search, Apple’s Siri, Microsoft’s Cortana, etc. are all capable of understanding queries in natural language. In this article, Toptal Freelance Software Engineer Shanglun (Sean) Wang walks us through some useful concepts and techniques in natural language processing and shows how they can be used to build a simple NLP app.

10 minute readContinue Reading

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