WHAT'S THE USE OF NAMED ENTITY EXTRACTION?


Entity extraction or Named entity extraction is a part of the Natural Language Processing technique. Language processing is an advanced technique of text analysis. Analyzing text and finding the exact emotions and meaning behind that it's now handling artificial intelligence. NowadaysText analysis software is invented by many IT companies using Machine learning, Natural Language processing, and most importantly artificial intelligence.

What is Named Entity Extraction?

Named Entity recognition extracts or identifies some particular words from a huge data set and it helps to categorize such as Organization, Expressions, Time, Person, Place, etc. So we use named entity recognition to find or categorize data from websites, articles, and even social media platforms.

With the vast amount of advancements of NER( Named Entity Recognition) and implementing machine learning, we can analyze text and extract from unstructured data like Twitter, email,sns feed. When it's difficult to deal with a large volume of data, this advanced technology helps us to identify particular words. At 1st the software needs to detect the particular words then it categorizes words as per different sets like the place, time, name, person, etc.

Many brands nowadays are using text analysis software to review and recognize positive comments for their brand. It is not really possible for humans to read and analyze thousands of comments, reviews of products to know the customers’ views. Entity Extraction system also helps to find differences among positive and negative comments

Textrics is a text analysis software that offers you proper analysis with 99% accuracy. Our software is faster than others to analyze and detect subjective emotions of some data. Don't forget to visit our official website to know more details of Entity Extraction.

 

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