write a report after text mining

write a report after text mining

If you have an analytics tool that is capable of text mining, use that; if not, download RapidMiner (rapid-i.com) and install it. Also install the text analytics add-on for RapidMiner. Process the downloaded data using your text mining tool (i.e., convert the data into a structured form). Build models and assess the sentiment detection accuracy of several classification models (e.g., support vector machines, decision trees, neural networks, logistic regression, etc.). Write a detailed report where you explain your finings and your experiences.

“No plagiarism” and 2 references at least

I have a dataset to share . Please find the below.

20190327184835dataset_student_survey_data_2_

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Text investigation, otherwise called text mining, is a procedure of recovering high calibre organised data from the accessible unstructured or sloppy text. There are different methods available to retrieve the information from unstructured information, for example, semantic, factual, and AI strategies. Text examination is utilised for various purposes, for instance,

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