know-about-nlp

Natural language processing (NLP) is a subfield of linguistics, computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human languages, in particular how to program computers to process and analyze large amounts of natural language data.

Know-How we help in NLP projects 

Our trained NLP annotators can help deliver language annotation workloads at scale. Irrespective of your needs ranging from question-answer systems to document classification we can help you achieve results faster from your ML and AI algorithms. Convert your unstructured data into actionable insights. Our Natural Language Processing services support a range of business applications, from data categorization, text annotation, sentiment analysis to help them train chatbots.

GOAL 

The goal of natural language processing is to help computers understand human speech.  With natural language processing, computers would be able to directly understand human language and speech. When the goal is achieved, computer systems will be able to understand, draw inferences from, summarize, translate and generate accurate and natural human text and language

USE CASES 

A) Audio validation & transcription

Audio transcription has now become an indispensable part of our daily business meetings, seminars, earning call recordings, and songs, etc. Learning Spiral offers the right and accurate Audio transcription service to maintain the essence and means of the speech or conversation

Communicate with a wider audience using Learning Spiral’s audio transcription services.

Under  Audio transcription, we accurately convert spoken language into written language for a wide range of industries, including e-commerce, legal, medical, technology, finance, etc. 

B) Sentiment & intent analysis 

Our human-powered text annotation empowers enterprises to identify and extract intent or sentiment. Under Sentiment analysis we inspect user input and identify the prevailing subjective opinion, especially to determine a user’s attitude as positive, negative, or neutral. When making a detect intent request, you can specify that sentiment analysis is performed, and the response will contain sentiment analysis values.

C) Named entity recognition and Linking

Under Named entity recognition we probably perform the first step towards information extraction that seeks to locate and classify named entities in text into pre-defined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc. NER is used in many fields in Natural Language Processing (NLP), and it can help to answer many real-world questions. 

Advantages of natural language processing? 

There are many advantages of NLP. Natural language processing can be leveraged by companies to improve the efficiency of documentation processes, improve the accuracy of documentation, and identify the most pertinent information from large databases. 

NLP enables more natural conversations, more efficient operations, reduced costs, higher customer satisfaction, and improved analysis. Creating an NLP based chatbots Natural helps to Overcome Communication Barriers. Reduces cost, achieve higher customer satisfaction, etc. 

Conclusion 

NLP Services has become a very important tool for many new business functions, from chatbots, intelligent search, and question answering systems to sentiment analysis, medical insights, compliance monitoring, recruiting, document understanding, BI, and analytics on unstructured and semi-structured content. Our professional & dedicated team can help organizations to build new NLP applications or modernize their existing ones by adding conversational intelligence. WE PROVIDE QUALITATIVE DATA ANNOTATION & DATA LABELING SERVICES for all your NLP projects. 

  1. Data Acquisition 
  2. Raw Language Processing 
  3. Query Understanding 
  4. Statistical Language Processing 
  5. Question-Answer Systems 

We can handle NLP needs covering a wide range of tasks like Audio validation & transcription, Sentiment & Intent analysis, Named entity recognition & linking So irrespective of your needs we can help you achieve results faster.  Learning Spiral, Data Labeling company offers Quality Data Labeling and Data annotation services that provide potential to your Algorithms. 

Deliver language annotation workloads at scale & with precision

Unlock new business opportunities with Learning Spiral’s NLP Services

To know more get in touch with us now!

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