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Text Mining Supplemental Resources on Class Website.

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Presentation on theme: "Text Mining Supplemental Resources on Class Website."— Presentation transcript:

1 Text Mining Supplemental Resources on Class Website

2 Concept Map Text Mining Big Data Implementation Relative Cell References Design: Accuracy Import Search, Left, Right, Mid, Len, & Data Mining

3 Objectives ▪ Define Big Data, Text Mining and Data Mining ▪ Demonstrate Excel features that support text mining.

4 Facebook Users ▪ 1.28 billion users worldwide ▪ 802 million users login daily (up 21%) ▪ 67% of Internet users are on FB ▪ 50% of 18-24 year olds login when they wake up ▪ 45-54 year old age group has grown 46%

5 Facebook Content ▪ 4.5 billion likes daily (up 67%) ▪ 30 million photos uploaded daily ▪ 1 in 5 page views in US ▪ 36% users post brand-related content on their walls

6 King of Social Media ▪ FB accounts for 66% of social media sharing on iPhones ▪ Users with income over $75,000 Facebook73% Twitter17% Pinterest13%

7 Facebook & e-commerce ▪ 10 million registered small businesses ▪ Drives 26% of referral traffic to e- commerce sites ▪ 20% of shoppers prefer buying thru FB vs. e-commerce website ▪ 58% of businesses see a drop in marketing costs when moving to FB

8 ▪ Data sets too large to process with traditional database technology https://www.ted.com/talks/ kenneth_cukier_big_data_is_ better_data Big Data

9 Data Mining Tools ▪ software that searches through data ▪ uses complex statistical calculations ▪ outputs ▪ Trends ▪ Patterns ▪ Correlations ▪ Exceptions

10 Nestle ▪ Nestle processes Social Media http://uk.reuters.com/article/video/idUKBRE89P07Q20 121026?videoId=238680321

11 Import ▪ Access data not formatted as an Excel document ▪ File type = txt or csv

12 Import – Step 1 ▪ File, Open, File type = All files http://www.lacoste.pamplin.vt.edu/web1504/resources/video/ss.html

13 Import – Step 2 http://www.lacoste.pamplin.vt.edu/web1504/resources/video/ss.html

14 Import – Step 3 ▪ Save As File type = Excel Worksheet http://www.lacoste.pamplin.vt.edu/web1504/resources/video/ss.html

15 Text Mining ▪ Search ▪ Parse ▪ Concatenate ▪ SEARCH ▪ LEFT, MID, RIGHT, LEN ▪&▪&

16 SEARCH Function http://www.lacoste.pamplin.vt.edu/web1504/resources/video/ss.html

17 LEFT Function http://www.lacoste.pamplin.vt.edu/web1504/resources/video/ss.html

18 LEN or Length Function http://www.lacoste.pamplin.vt.edu/web1504/resources/video/ss.html

19 RIGHT Function http://www.lacoste.pamplin.vt.edu/web1504/resources/video/ss.html

20 MID Function http://www.lacoste.pamplin.vt.edu/web1504/resources/video/ss.html

21 Concatenate ▪ & is the concatenate symbol ▪ Quotes are required around constant strings of text http://www.lacoste.pamplin.vt.edu/web1504/resources/video/ss.html

22 Relative Cell Addressing ▪ Relative is the default ▪ When you copy a relative cell reference the reference will change depending on the direction and magnitude of the copy.

23 Copy Formula with Relative Cell Addresses

24 Paste Special - Values http://www.lacoste.pamplin.vt.edu/web1504/resources/video/ss.html MAC: Edit Menu, Paste Special


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