Difference Between Programming, Scripting, and Markup Languages

Difference between Text Mining and Natural Language Processing

Last Updated : 20 Mar, 2024

Text Mining and Natural Language Processing (NLP) are both fields within the broader domain of computational linguistics, but they serve distinct purposes and employ different methodologies:

Text Mining

Text Mining goal is to extract significant numeric indices from the text. Thus, make the facts contained in the textual content available to a range of algorithms. Information can be extracted to derive summaries contained in the documents. It is essentially an AI technology that includes processing the information from a variety of textual content documents. Many deep learning algorithms are used for the effective assessment of the text. In this, the information is saved in an unstructured format.

Natural language processing (NLP)

Natural language processing (NLP) importance is to make computer systems to recognize the natural language. That’s no longer a handy challenge though. Computers can recognize the structured structure of information like spreadsheets and the tables in the database, however human languages, texts, and voices shape an unstructured class of data, and it receives challenging for the pc to recognize it, and that is why the need for NLP arises.

Difference between Text Mining and Natural Language Processing :

S.No.	Text Mining	Natural Language Processing
1.	Aim is to extract useful insights from structured and unstructured text.	Aim is to understand what is conveyed in speech.
2.	It deals with the conversion of textual content into data which is further analyzed.	Its goal is that computer systems can understand human languages or text.
3.	To process data, it uses various types of tools and languages.	It uses high-level machine learning models to process data and for producing output.
4.	To perform tasks, it does not consider semantic analysis.	It considers Syntactic analysis and semantic analysis for performing tasks.
5.	The main source of data in text mining includes massive docs.	In this, there can be multiple sources of data such as signboards, speech, etc.
6.	In this, we can measure the system performance and its accuracy easily as compared to NLP.	In this, to measure system performance is quite difficult as compared to Text Mining.
7.	It does not require human intervention.	To process data, sometimes it requires human intervention.
8.	It produces the pattern and frequency of words.	It produces structure like grammatical structure.
9.	Performance measure is direct and relatively simple.	Highly difficult to measure system accuracy for machines.
10.	It can be used to monitor social media.	It can be used in website translation.
11.	It primarily works with unstructured text data such as documents, webpages and emails.	It works with various forms of text, speech and other forms of human language data.
12.	It's application include sentiment analysis, document categorization, entity recognition and so on.	It's application include machine translation, chatbots and so on.
13.	It is less dependent on the specific language being analyzed.	It is highly dependent on language, as various language-specific models and resources are used.
14.	Rapid Miner and KNIME are some tools used.	NLTK and spaCy are some tools used.
15.	It is less context-sensitive as it focuses on surface-level features.	It is highly context-sensitive and most often requires understanding the broader context of text provided.

Difference Between Programming, Scripting, and Markup Languages

D

dikshamulchandani1

Improve

Article Tags :

Practice Tags :

Machine Learning

Similar Reads

Natural Language Processing: Moving Beyond Zeros and Ones

Machine Learning is one of the wonders of modern technology! Intelligent robots, smart cars etc. are all applications of ML. And the technology that can make robots talk is called Natural Language Processing!!! This article focuses on the applications of Natural Language Processing and emphasizes th

Difference between Word Processor and Text Editor

1. Word Processor :Word Processor processes the words with pages and paragraphs. It is a processor that provides the basic editing, input, formatting, and output of the text with some additional features. It is a fully functioned desktop publishing program that produces error-free documents.2. Text

Difference Between Programming, Scripting, and Markup Languages

When it comes to making a website or app, coding involves basically three types of languages, i.e the programming language, Scripting Language and Markup Language. There are a lot of people who consider coding as just developing or making a website, but they need to understand that every single lang

Difference between Texting and Messaging

1. Texting : Texting is one of the oldest method of communication, and now a days it is less used after messaging came into market. With the help of texting initially individuals only communicate with each other via sending text messages to each other. For sending and receiving text messages no appl

Difference between Rich text and Plain text

What is Text.:- Collection of words or letters is called as text. This is a plain text-Geeks for Geeks This is a rich text- Geeks for Geeks It is clear from the above two types of text that what we are dealing with now lets see them one by one in detail and the difference between them. 1. PLAIN TEXT

Best Tools for Natural Language Processing in 2024

Natural language processing, also known as Natural Language Interface, has recently received a boost over the past several years due to the increasing demands on the ability of machines to understand and analyze human language. Best Tools for Natural Language Processing in 2024This article explores

Advanced Natural Language Processing Interview Question

Natural Language Processing (NLP) is a rapidly evolving field at the intersection of computer science and linguistics. As companies increasingly leverage NLP technologies, the demand for skilled professionals in this area has surged. Whether preparing for a job interview or looking to brush up on yo

Advanced Topics in Natural Language Processing

Natural Language Processing (NLP) has evolved significantly from its early days of rule-based systems to the sophisticated deep learning techniques used today. Advanced NLP focuses on leveraging state-of-the-art algorithms and models to understand, interpret, and generate human language with greater

Natural Language Processing in Healthcare

Due to NLP, clinical documentation has become one of the most important aspects of healthcare. Healthcare systems now process large amounts of data each day, much of which consists of unstructured text, such as clinical notes, reports, and transcriptions. At this stage, Natural Language Processing (

Difference between Texting and Email

1. Texting : Texting is the method of communication that includes the sending and receiving of short messages known as texts. It is done between two or more mobile devices. It is basically the act of composing and sending messages to one or more mobile devices over the cellular network meaning anyon