Deep learning and machine translation

Deep learning and machine translation Designer Dresses

In this article, we will look at some of the common techniques used in NLP problems. And let's create a simple sentiment analysis model using movie reviews to predict positive or negative ratings.
2021-10-05, by ,

#Text || #Deep learning || #NLP ||

Table of contents:

Word frequency

Term Frequency calculates the probability of finding a word in a document. Well, for example, we want to know what is the probability of finding the word wi in document dj.

Inverse Document Frequency

In IDF logic, if a word occurs in all documents, it is not very useful. This determines how unique the word is in the entire corpus.

According to Research and Market, the global natural language processing market will grow from $ 10.2 billion in 2019 to $ 26.4 billion by 2024 at a 21.0% compound annual growth rate (CAGR) over the forecast period.

As mentioned in doctranslator post, the main drivers for the growth of the NLP market: increased use of smart devices, as well as cloud solutions and applications based on NLP that improve customer service, increased technological investment in the healthcare industry.