Natural language processing (NLP) has become one of the most research topics in the field of AI. This interest is driven by applications that have been brought to the market in recent years.
With customers are increasingly likely to conduct their research online. Whether it’s to give an opinion or simply look for the answer to a specific question, consumers are taking turns using search engines to find the best result. This is where NLP comes in.
Google was the first platform to integrate and explore natural language processing. They use the technology to optimize the indexing and positioning of websites in their search engine. The goal is always to improve the user experience by providing the most relevant results possible.
Therefore Google has been working
Natural language processing to guess and get as close as possible to users’ searches. The goal is to understand the meaning of each word, identify the intention behind the construction of sentences and discern the expression of feelings in each term us.
The Google Natural Language API comprises five different services. Let’s explain how each of them works.
Syntax analysis
For a given text, Google’s syntax analysis will self employed data package return a breakdown of all words with a rich set of linguistic information.
Sentiment analysis
The syntax analysis service is primarily us early in the pipeline to create features that are later f into machine learning models . It provides the prevailing emotional sentiment in a given text.
Entity analysis
Entity analysis is the process of detecting
Known entities such as public figures or landmarks from a given text. Entity detection is very useful for all types of classification and topic modeling tasks.
Google Natural Language provides some basic business case for a social intranet information about each detect entity and even provides a link to the respective Wikipia article, if it exists. In The development of the addition, a saliency score is calculat. This score for mobile list an entity provides information about the importance or centrality of that entity to the entire text of the document.
