Natural Language Processing

Natural Language Processing

The Homosapiens, as they say, is the smartest animal on earth because of their ability to talk and communicate. With more than 6500 languages spoken all over the world, everyone is going crazy over the spoken by the computer software. Shocking, yet true, people are no more interested in talking to people, but robots!

This is where the concept of NLP or Natural Language Processing comes into the picture. Only about 21% of the available is present in the structured form. Data is created when we speak, write, or send messages through emails, WhatsApp, Instagram, etc. The majority of this textual data is in the unstructured form. In order to derive meaning from this data and get actionable insights from this data, one must know Text Mining and Natural Language Processing.

Whether it is interacting with a chatbot or giving instructions to Siri or Cortana or google translation, everything uses NLP. You may have also noticed that the products that you search on any shopping website, the ad of the same appear on your Instagram or Facebook page. This is using the buyers’ intent and it is also done via NLP.

Steps involved:

  1. Sentence Segmentation
  2. Word Tokenization
  3. Predicting Parts of Speech for Each Token
  4. Text Lemmatization
  5. Identifying Stop Words
  6. Dependency Parsing
  7. Finding Noun Phrases
  8. Named Entity Recognition (NER)
  9. Coreference Resolution

The best thing about NLP is that data can be fed manually and other parameters can be set in the system and then every time we just need to feed the input and the results are auto-generated. One can think of it as giving all conditions in a clinical report that confirms that a patient is suffering from a particular disease, manually once, and then whenever we feed a patient’s symptoms, the computer automatically tells whether that person is suffering from that particular disease or not. The accuracy of such reports is found to be almost 96%. The same medicines can be prescribed to the patients.

The online websites that find jobs matching your skills and education also make use of the same technology.

Unstructured data, as they say, is dead data unless converted into some analysis. This analysis is a piece of gold for the ICT workers and other businesses as well.