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Question 1: Explain the relationship among data mining, text mining, and sentiment analysis.
Question 2: In your own words, define text mining, and discuss its most popular applications.
Question 3: What does it mean to induce structure into text-based data? Discuss the alternative ways of inducing structure into them.
Question 4: what is the role of NLP in text mining? Discuss the capabilities and limitations of NLP in the context of text mining.
Exercise 4: Find the sentiment analysis case named "How Do We Fix an App Like That?" Read the description and follow the direction to download the data and the tool to carry out the exercise. Write a report on your steps for the exercise.
Internet Exercise 7: Explore the section on applications as well as software. Find the names at least three additional packages for data mining and text mining.
Calculate the reciprocal lattice of the body-centred cubic and Show that the reciprocal of the face-centred cubic (fcc) structure is itself a bcc structure.
How much gasoline do vehicles with the following fuel efficiencies consume in one year? Calculate the gasoline savings, in gallons per year, created by the following two options. Show all your work, and draw boxes around your answers.
Design and modelling of adsorption chromatography based on isotherm data
Write an essay on Application of Mechatronics Engineering
To examine the relationship between fermenter design and operating conditions, oxygen transfer capability and microbial growth.
Questions based on Block Diagram, System Performance and Responses.
good understanding of Mil-Std-499 and Mil-Std-499A
How did this procedure affect the signal observed from the electrode and the electrode impedances?
Write a report on environmental companies
Prepare a schematic diagram below of the major parts of the SEM
creating the pumping and piping system to supply cool water to the condenser
Using the data provided on the webvista site in the file marked vdw.txt, try to develop a mathematical equation for the vdW potential we discussed in class, U(x), that best fits the data
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