Using Text or Short Text Mining for Optimizing Customer Relationship Management

Running head: TEXT OR SHORT TEXT MINING
Using Text or Short Text Mining for Optimizing Customer Relationship Management
Name of the Student
Name of the University
Author Note

TEXT OR SHORT TEXT MINING
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Abstract:
The main aim of this paper is conducting a survey on the text mining or the short text mining in
the aspect of customer relationship management, whether it is capable of optimizing customer
relationship management or not. First a brief discussion has been done in this paper regarding the
short text mining process. In this section the short text mining has been understood briefly. In the
survey part of this paper first the importance of this survey has been elaborated. In the next
section of this survey how the text mining is capable of improving the customer relationship
management has been discussed. Important steps for optimizing the customer relationship
management has been discussed here. This paper also has discussion regarding the technical
details of the text mining process. It has been also assessed that there are various of ways in
which text mining can be utilized in the business intelligence. There are mainly four working
procedures of the text mining that has been discussed in this report and it has been assessed that
pattern taxonomy method is the most effective among the four.

TEXT OR SHORT TEXT MINING
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Table of Contents
Introduction:....................................................................................................................................4
Survey on the Text or Short Text Mining:.......................................................................................5
Importance of this Survey:...........................................................................................................5
How Text Mining optimizes Customer Relationship Management:...........................................6
Text Mining in Business Intelligence:.........................................................................................9
Differences among Methods:.....................................................................................................10
Conclusion:....................................................................................................................................12
References:....................................................................................................................................14

TEXT OR SHORT TEXT MINING
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Introduction:
The text mining which is again refereed as the short text mining is actually relevant with
the text analytics. The text mining is the process of high quality information derivation from
some specific texts (Weiss, Indurkhya and Zhang 2015). Using the text mining the high quality
data is achieved through pattern and trends devising. One of the prior example in this case is the
statistical learnings of patterns. The process of text mining mainly involves with the process of
input text structuring, patter deriving among the structured data and evaluation and interpretation
of the data that has been extracted (Allahyari et al. 2017). Normal process of the text mining
includes clustering of the texts, categorization of the texts, extraction of entity, granular
taxonomies production, summarization of the documents and sentiment analysis. The word text
analytics demonstrates a set of linguistic, statistical, and the techniques of machine learning
which structure and model content of information of textual sources of exploratory data analysis,
business intelligence and investigation. The text mining also describes text analytics application
so that response can be provided against the business problem (Isayev 2019). Response can be
provided in both independent way or in conjugation with analysis and query fielded numerical
type of data. The techniques of text mining is capable of discovering and presenting knowledge,
facts, relationships and business rules which is locked in textual formats.
The method of text mining plays an crucial role in the context of improving the customer
relationship management which is quite important for the business. Through the improvements
in the customer relationship management the overall business procedures for an organization can
be improved easily (Soltani and Navimipour 2016). The customer relationship management is
actually a strategy of management for all the relationship that the organization currently have.
Here the important relationship which an organization possess is with its customers and