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The effect of different concentrations of synthetic androgen 17α-methyl-testosterone (MT) on the adult fish, Colisa lalia was studied in the present investigation. It was found that fishes fed with homogenous mixture of the hormone in ethyl alcohol, exhibited phenotypically, morphometric, gonadal changes and differences in GSI value. Significant differences for length, weight, body color and GSI values were observed between hormones treated and control groups. Fishes fed with hormonal doses of 10 and 15 mg/Kg feed showed significantly elevated body color compared to 5 mg/Kg feed. Length, weight and GSI values were found significantly higher in 10 mg than 5mg/Kg and control group. The highest mean length and mean weight of fish was recorded as 4.76±0.13 mm and 1.50±0.15g respectively with the hormone treatment of 10mg/Kg of feed. The present study revealed that the synthetic hormone had no significant effect on the gonad development of C. lalia.

Private organizations like offices, libraries, hospitals make use of computers for computerized database, when computers became a most cost-effective device.After than E.F Codd introduced relational database model i.e conventional database. Conventional database can be enhanced to temporal database. Conventional or traditional databases are structured in nature. But always we dont have the pre-organized data. We have to deal with different types of data. That data is huge and in large amount i.e Big data. Big data mostly emphasized into internal data sources like transaction, log data, emails etc. From these sources high-enriched information is extracted by the means of process text data mining or text analytics. Entity Extraction is a part of Text Analysis. An entity can be anything like people, companies, places, money, any links, phone number etc. Text documents, bLogposts or any long articles contain large number of entities in many forms. Extracting those entities to gain the valuable information is the main target. Extraction of entities is possible in natural language processing(NLP) with R language. In this research work we will briefly discuss about text analysis process and how to extract entities with different big data tools.

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