Information Retrieval Journal

ISSN: 1386-4564 (Print) 1573-7659 (Online)

see this link:

http://link.springer.com/journal/10791

And area which is not exactly emerging, but with respect to its results still - one might say - in its infancy is the domain of text mining of textual, in particular narrative clinical patient data (findings, procedure reports, progress notes and discharge summaries/letters).

Extracting solid information from these as regards diagnosis, history, therapy and outcome is a long sought after goal, i.e. for epidemiology, retrospective evaluation of therapies, but also for recruiting patients for clinical studies.

Please let me know the exact topic of your research.  I am not able to understand whether you are asking for text mining tools or techniques and use of text mining

I'm looking for writing thesis in some techniques in information retrieval.

Hi dear

Music and Audio Information Retrial are 2  new issues.

Information Retrieval Journal

ISSN: 1386-4564 (Print) 1573-7659 (Online)

see this link:

http://link.springer.com/journal/10791

I think identifying spikes in text corpora and associating their reasons could be an interesting research. Spikes in commercial domain products are called aspects. In other domains of social sciences, such aspects may represent issues, symptoms, treatments, events, characters etc., depending upon the nature of content. Identifying the reasons that led to existence of those aspects could be interesting. I think its called opinion reason mining.

There are several areas related to text mining is still open for research. for example: Emotion detection in text data

Text summarization

Sarcasm detection in text etc.

Old topics are like Spam Detection , Sentiment Analysis. relatively newer may be influential blogger detection , community detection, summarization , expert systems.  Trend detection also you may give a try. As tool 'R', 'Python' will be handy with great capabilities and helpful and growing communities. The communities may also give you few ideas.

The  recent report from the AHRQ (link attache) might be helpful - it reviews how text mining is being used to develop searches in systematic reviews, and also to help with other processes in systematic reviewing.

Text mining tools for searching are also included in the SR Toolbox website (link attached)

http://systematicreviewtools.com/

https://effectivehealthcare.ahrq.gov/ehc/products/625/2214/text-mining-report-160419.pdf

Reducing load caused by web crawlers. Managing frequency of retrieval of a page and its up-dation.