Text Data Mining

Text analysis or intellectual data analysis is to fetch information from obscure text. This process of extraction is done through the devising of patterns and trends through means such as statistical pattern learning. Goal of text mining is to discover some unknown information/facts.

Text mining is different from the field of data mining. In text mining patterns are extracted from textual data. As there is no specific predetermined program to read textual data so it is required to be done manually.

Why does text mining get importance in pharmaceutical industry?

In a field like medical research, there are few compositions, clinical hypotheses or medical concerns that have not been previously studied to some degree. For this reason, an attempt to initiate new pharmaceutical drugs or investigating medicine related information; it makes good sense to perform an in-depth research in this wing.

However, the sheer volume of such data makes this research not only hard, but also extremely time consuming. For example the prime suppository for current bio-medical literature, PubMed, grows by as many as one million new publications in every three months. Every year, the database increases exponentially as new studies and clinical data are gathered and processed around the globe. This is a major problem for those people who need to extract important pieces of information from that data but do not have the resources to do so. That is where our text data mining service comes in.

Steps, we follow

The process of text mining which we follow is as following.

1. Documents collection.
2. Retrieving the documents.
3. Extraction of information.
4. Clustering of information.
5. Analysis
6. Summarization

So when it is about medical research or clinical study, we gather this data actively from a wide range of sources including:

• Bio-Medical Literature: We fetch information from major bio-medical literature.
• Chemical Literature: We access major publication databases for chemical and biochemical data.
• Patents: We sift through the daunting database of the US Patent and Trademark Office during the early phases of drug testing.
• Clinical Documents: We investigate key sources of clinical trial and research data for important results.
• Other Medical Sources: Depending on the type of research being performed and the data needed for the study, we can gather information from other key medical literary sources.