Natural Language Processing and Text Mining Assignment, AI, Semester 1

This assignment delves into the relationship between Natural Language Processing (NLP) and text mining, illustrating how NLP techniques are applied to extract meaningful information from text data. The assignment explores the ability of NLP to read and understand natural languages like English, and how this capability is crucial for text mining. It also discusses the use of NLP in sentiment analysis, social media monitoring, and other applications. The assignment highlights the importance of NLP in converting text to speech and vice versa, as well as its role in identifying relationships within large datasets, thereby enabling efficient data analysis. Furthermore, it emphasizes the combined use of text mining and NLP for various analytical purposes, including the transformation of text data into structured formats for further analysis and visualization, thus providing a complete overview of the topic. The assignment also includes a discussion of the role of NLP in text mining for structural modeling of protein complexes and the use of Convolution Neural Networks for text mining and NLP.

Running head: Natural Language Processing
Natural Language Processing
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2Natural Language Processing
Question-
Role of natural language processing in text mining?
Answer-
One of the widely used data mining technique is the text mining which is used for
examining huge collection of document to get some meaningful and new information which will
be used by different analyst and many researcher for specific research. The main motive of text
mining is to transform data into relevant information in the form of text which can be used
further for different analysis purpose (Badal, Kundrotas & Vakser, 2018). Natural language
processing is one of the kind of methodology which is used for text mining purposes
Through natural language processing machines get the ability to read text by simulating
the human ability to read and understand natural languages such as English, German and many
more. NLP is widely used for speech recognition, relation extraction and image recognition.
The main purpose of the text mining analytics is to identify the relationship which is the
main motive of big data (Widiastuti, 2019). After extraction of useful information these
information are then converted into some structured form which are then further analyzed and
presented using visualization. Text mining is just a concept which can be implemented using
NLP.
It can be said that text mining and natural language processing are used together for
different analysis purpose. One of the main application of text mining is to convert text to speech
or the vice versa also another most common use is in social media monitoring where analysis are
performed on user generated data to understand moods while writing something, the emotions

3Natural Language Processing
while chatting with others. Thus NLP plays a huge role in the background of many text mining
application.
References
Badal, V. D., Kundrotas, P. J., & Vakser, I. A. (2018). Natural language processing in text
mining for structural modeling of protein complexes. BMC bioinformatics, 19(1), 84.
Widiastuti, N. I. (2019, November). Convolution Neural Network for Text Mining and Natural
Language Processing. In IOP Conference Series: Materials Science and Engineering
(Vol. 662, No. 5, p. 052010). IOP Publishing.