After reading\u00a0Text Analysis and Visualization,<\/em> I was shocked at the power of text. First, finding racism from plain speech is a difficult task, but text analysis shows that it is apparent. It is very easy to forget how much data is really out there in the world and this quote really made a strong point: “It is estimated that every day some 200 billion emails are sent and some 5 billion Google search queries are performed \u2013 and they are nearly all text-based.4 The hundred hours of video uploaded to YouTube every minute would remain largely inaccessible were it not for text-based searches of the title, description, and other metadata. “(Jockers and Underwood). Most of that data would be lost without strong text analysis and visualization.<\/p>\n

Another topic that stuck out to me was the communication aspect. People still communicate primarily through text, so it would make sense for that to be the biggest data source. The\u00a0 text analysis of the toy commercials shows these themes.\u00a0 From the surface the evidence may seem slim, but the word cloud visualizations show certain words can play a major role in advertisements.\u00a0 It is extremely easy to read and gets the point across quickly.<\/p>\n

A fellow students post\u00a0Text Mining\/Language Standardization<\/em> by BM stood out to me. They mention “computer will never understand the emotional values and ever-changing expressions of human beings”. I agree this is a difficult thing to represent and it should be taken into consideration. The word cloud completely misses all of the meaning and only judges by frequency. That is a loss in information.<\/p>\n","protected":false},"excerpt":{"rendered":"

After reading Text Analysis and Visualization, I was shocked at the power of text. First, finding racism from plain speech is a difficult task, but text analysis shows that it is apparent. It is very easy to forget how much data is really out there in the world and this quote really made a strong point: … <\/p>\n

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