| From national security agencies to drug discovery companies, these organizations find text mining an excellent approach for information retrieval and knowledge extraction. However, when analyzing life science abstracts, many text mining methods are challenged with such issues as multiple synonyms, inconsistent homonyms, and ambiguous acronyms. In the drug discovery arena, most scientists do not want to become experts in text mining techniques, but simply want to find key, published information and relationships about a drug, compound, or disease. This talk will introduce basic text mining approaches, describe how text mining software can help with extracting the relevant biochemical knowledge in life science publications, and give a short survey of select text mining tools for the life sciences. A few examples will be provided to show how text mining software is being used in research and discovery. |