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About Me
Dedicated and motivated data scientist with an overall 3.9 years of experience seeking a position in a fast-growth company. Proven ability as an SAS programmer and data science enthusiast with skill-set of data collection & cleaning, exploratory d...
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Description
proposed topic modeling technique discover the more precise topics form biomedical text documents and remove the redundancy problem from these documents. Furthermore, it can be utilized for biomedical documents classification and clustering tasks in text mining proposedtopic modeling technique discover the more precise topics form biomedical text documents and remove the redundancy problem from these documents. Furthermore, it can be utilized for biomedical documents classification and clustering tasks in text mining
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Analysis: For this application, we will be using basic statistical feature extraction, In the NLP domain, we need to convert raw text into a numerical format so that the ML algorithm can be applied to that numerical data, techniques are used, including indexing, count-based vectorization, Term Frequency Inverse Document Frequency
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