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April 18, 2025

Explore NLP Tools – Language Enhancement & Interaction

Natural Language Processing, or NLP, is a part of Data Science (AI, to be precise) that allows computers to understand spoken words and text like humans. It combines machine learning, statistical learning, and deep learning models, enabling computers to process human language through voice or text. There are several NLP tools that understand human language to the fullest and translate it into text or voice output. NLP tools further provide business solutions to various companies and streamline their operations. To understand how, let’s delve into NLP and its core aspects.

Table Of Content

What is the Work of NLP?

What are the NLP Tools Available in the Market?

Advantages of Natural Language Processing

What is the Work of NLP?

NLP (Natural Language Processing) uses various algorithms and breaks down human voice data and text to help computers understand their expression. There are several tasks of NLP, which include:

Sentiment Analysis

NLP tools aim to gather subjective aspects from text, like confusion, emotion, sarcasm, suspicion and attitude from a text.

NEM

Also known as Named Entity Recognition, it identifies phrases or words as important entities. NEM is a part of NLP that may recognize ‘Riya’ as a woman’s name and ‘Starbucks’ as an eatery.

Speech Recognition

Turning voice input into text data is called speech-to-text. Speech recognition is an important work of NLP for applications that respond to voice commands or enquiries.

Language Disambiguation

NLP determines the meaning of a word with several meanings using semantic analysis to discover which word makes the most sense in the current context.

Co-reference Resolution

Determining whether two words refer to the same item is known as co-reference resolution.

Grammatical Tagging

Grammatical tagging is also called a part of speech tagging. It is a task of NLP to identify the part of speech of a given word or piece of text according to its context and use.

Natural Language Generation

It is the opposite of speech recognition. Here, NLP structures information into human language.

What are the NLP Tools Available in the Market?

Natural Language Processing assists businesses in making and discovering useful insights from unstructured text as well as solving a number of text analysis challenges, such as subject categorisation, sentiment analysis and more. Various ready-to-use NLP tools can be run through open-source libraries or SaaS (software as a service). The top NLP tools are:

Google Cloud

The Google Cloud Natural Language API includes different pre-trained models for entity extraction, sentiment analysis and content categorization.

NLTK

The Natural Language Toolkit (NLTK) in Python is a significant tool for developing Natural Language Processing (NLP) models.

TextBlob

A Python module, TextBlob extends NLTK and enables businesses and individuals to execute the same. NLP operations in a more intuitive and user-friendly interface.

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Stanford Core NLP

Stanford University’s NLP community maintains the well-known library Stanford Core NLP.

SpaCy

SpaCy is a modern open-source Python module for Natural Language Processing, known for its remarkable speed, user-friendliness, extensive documentation, and robust data handling capabilities.

Flair

Flair is a simple Natural Language Processing tool that was developed by Zalando Research.

NLP Architect

NLP Architect is an open-source Python library for NLP, developed by Intel.

Amazon Comprehend

It is a natural language processing (NLP) service embedded in the Amazon Web Services architecture.

IBM Watson

Present in the IBM Cloud, IBM Watson is a suite of AI services that provides Natural Language Understanding as the key feature.

Advantages of Natural Language Processing

The primary advantage of NLP is that it enhances how people and computers interact with one another. The computer’s language – Code, is the most direct approach to influencing a computer. Interacting with computers becomes much more intuitive for people as computers learn to grasp human language.

NLP’s other advantages are as follows:

Helps to perform sentiment analysis
Improves the efficiency and accuracy of documentation
Utilising NLP, personal assistants such as Alexa comprehend spoken words.
Provides the ability to automatically make a readable summary of complex and larger unique texts.
Allows organisations to use chatbots for customer support
Offers useful insights into analytics that were once difficult to reach due to the volume of data.

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Thus, Natural language processing is critical to technology and how humans interact with it. It is utilized in a wide range of real-world applications, including chatbots, cybersecurity, search engines, and big data analytics.

As an important aspect of Data Science, mastering Natural Language Processing offers great career opportunities to professionals. And if you pursue a specific course, it can advance various job roles in reputed companies. IIM Kozhikode is offering a Professional Certificate Programme in Data Science for Business Decisions, which is one such course that provides students with critical and analytical thinking abilities in programming and data science.