1. Explain the relationship among data mining, text mining, and sentiment analysis.
2. In your own words, define text mining, and discuss its most popular applications.
3. What does it mean to induce structure into text-based data? Discuss the alternative ways of inducing structure into them.
4. What is the role of NPL in text mining? Discuss the capabilities and limitations of NPL in the context of text mining.
5. Go to https://www.teradata.com/University and find the case study named “ebay Analytics”. Read the case study carefully and extend your understanding of it by searching the internet for additional information, and answer the case question.
6. Go to kdnuggets.com. Explore the sections on appli- cations as well as software. Find names of at least three additional packages for data mining and text mining.
A few years back, data was a vogue word; but things have dramatically changed. We are now in the era of big data; most businesses depend on data for their daily transactions and decision-making. Text mining, or text data mining, is the process of transforming unstructured text into a structured format; having 80% of data in the world residing in an unstructured format, text mining enables you to identify meaningful patterns and new insights. Sentiment analysis leverages natural language processing to classify data or reviews into positive, negative, or neutral sentiments. Data from most visitors are usually unstructured; text mining will be used to structure the data, while you deploy sentiment analysis to understand the real significance and nuances in the data.
h Amazon and Walmart, in any case, Costco lingers behind the two contenders with regards to the consistent utilization of web and versatile applications. While perusing around the sites of these three organizations, Costco appears to have the least degree of refinement as well as the most negligible open doors for purchasers to exploit. One illustration of this is Amazon and Walmart’s utilization of outsider merchants. While Costco just business sectors stock dispersed by Costco, Amazon and Walmart can give a lot more extensive determination of contributions to the buyer. This reality permits both Amazon and Walmart to engage more noteworthy client interest as well as create more prominent incomes from working a commercial center for both in house merchandise as well as outsider products.
Later on, increasingly more significance will be put on web based business and web and versatile utilization. For Costco to keep an upper hand, they will probably have to increase their capacities in online business and web and versatile presence.
Natural:
Ecologically, Costco strives to guarantee that they benefit from drives which help to decrease natural effect. These drives have the result of lessening Costco’s openness to the dangers related with expanding worldwide temperatures and energy towards decreasing petroleum derivative use. One illustration of these drives is the utilization of electric module shore power. As per Costco’s site,
“Costco Business Delivery Centers additionally have executed methodology to involve electric module shore power, integrating with the matrix to permit our refrigerated trucks to keep up with temperature while being stacked and put away. This kills the past act of running the diesel dope motor, subsequently saving fuel and dispensing with fossil fuel byproducts by north of 70% for each truck that utilizations shore power.” [2]