Bing Liu’s article,  Sentiment Analysis and Subjectivit<\/em>y, explains the history behind opinionated text and how it is researched today. He opens his article by defining textual information into two mains types: facts and opinions. Facts are objective, and opinions are subjective expressions that often describe people’s sentiments or feelings towards  an event. Liu explains that throughout history, most of the textual information people have researched have been fact based. Why? Because before the internet, there were few places to publish opinionated text. Before the internet, opinions were often made to friends, family, etc, and were not published. Today, opinions flood the internet. With websites like Amazon and Ebay where consumers can comment on products, and applications like Instagram and Facebook where users can comment on posts, opinions  are constantly being made. This is where sentiment analysis is incredibly effective. Sentiment Analysis takes all the words in a text, determines if the words have a positive or negative sentiment, then returns a “sentiment score” allowing the user of the program to determine whether the overall text is positive or negative. <\/p>\n\n\n\n

Sentiment Analysis is not a full-proof way to tell whether a text is positive or negative as it is susceptible to errors, but in many cases, it is very effective in taking large bodies of information and determining whether it is positive or negative. One of my classmates made an interesting statement about how the computer can determine whether something is positive or negative. BM states, \u201ccomputer will never understand the emotional values and ever-changing expressions of human beings.\u201d How is it that a computer can determine whether something is positive or negative without emotional values or feelings? Overall, sentiment analysis is an incredibly fascinating topic and has the opportunity to be a very effective strategy for analyzing data in the future.<\/p>\n","protected":false},"excerpt":{"rendered":"

Bing Liu’s article,  Sentiment Analysis and Subjectivity, explains the history behind opinionated text and how it is researched today. He opens his article by defining textual information into two mains types: facts and opinions. Facts are objective, and opinions are subjective expressions that often describe people’s sentiments or feelings towards  an event. Liu explains that … <\/p>\n

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