ROLE OF INFORMATION PROFESSIONALS IN TEXT MINING
Information professionals can play a very crucial role in text mining. With their subject knowledge and techniques and ability to adept various tools they can perform various activities related to text mining. Some of the important roles for information professionals in text-mining are as follows:[3]
A. Develop appropriate taxonomies and ontologies Appropriate taxonomies and ontologies specific to the area of interest of information centres can be designed by the information professionals. Here information professionals can provide a valuable output.
B. Search strategy developer Information professionals can act as a strategist to develop search strategy by combining various techniques. Even a vendor is going to use a familiar content source for the searching of information, but the search techniques and algorithm can only be developed by information professionals to get the required relevant information. To get the relevant information from the large domain of database is very important and crucial. Here information professional can help.
C. Information Analyst Information professional can act as information analyst in text mining. They can search “gems” in sea water.
D. Negotiation facilitator Information professionals can act as facilitators of conversations between internal teams and vendors because of their ability and professional competencies to work like it. They can differentiate between the text-mining tools with other information sources search tool
E. Source selection facilitator Advice vendors and customers on selection of specific sources. By the virtue of their subject knowledge and analytical ability, information professionals can act as facilitators for the selection of specific sources for information retrieval.
F. Recognize application areas for text mining The main aim of text mining for any organisation is to take administrative and strategically important decisions based on the information retrieved after the application of text mining. In a big organisation the quantum of data is voluminous. Text mining tools are expensive; hence the organisation can’t go for the text mining of its entire data. Here information professionals can play an important role to decide about the suitability of data which should go for text mining to get the maximum possible benefits.
G. Help in overcoming the problem of jargon and language There are enormous quantities of jargon used in different type of literature. Tools meant for text mining are not sufficient to overcome the problem of jargon, because these jargons are used in different context and text mining tools are not able to understand them. Here information professionals with adequate knowledge, understanding and training can play an important role in relevant information retrieval.
H. Help in overcoming the problem of language The basic aim of language is to convey the required information to the audience. The problem of language is that its linguistics may be confusing. This confusion of linguistic can’t be sensed by text mining tools. Information professionals with the virtue of their study and training can be an important resource person