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@article{145217,
        author = {T.Krishnaveni  and K.Mary Sudha Rani},
        title = {A REVIEW ON MINING TEXTUAL INFORMATION FROM BIOMEDICAL DATA},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {8},
        pages = {117-120},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145217},
        abstract = {This paper presents a review on bio-medical text mining from scientific documents involving event extraction which is used to explore the data biomedical data in an easy and comprehensive manner. Information extraction is a challenging task from the biological texts as it considers many aspects from different areas such as natural language extraction, statistics and machine learning models. This event extraction involves a series of steps from preprocessing to post processing which includes many intermediate methods to represent in different patterns. This paper describes different resources available for biomedical text mining, information extraction and recent machine learning methods that are significantly used.},
        keywords = {Mining, Textual Information, Biomedical},
        month = {},
        }