Sentiment Analysis

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Sentiment Analysis

  1. 1. Sentiment Analysis By: Tannaz
  2. 2. Definition of Sentiment Analysis : <ul><li>Founded by Mattias Tyrberg and Professor Sverker Sikström in Sweden. </li></ul><ul><li>Language - independent technology that understand the meaning of the text. </li></ul><ul><li>It identifies the opinion or attitude that a person has towards a topic or an object. </li></ul><ul><li>Also, known as opinion mining. </li></ul>
  3. 3. The demand for sentiment Analysis : <ul><li>“ what other people think” has always been an important element of information for decision making process. </li></ul>
  4. 4. Sentiment Analysis & Web 2.0 <ul><li>Web 2.0 platforms such as : </li></ul><ul><ul><li>Blogs </li></ul></ul><ul><ul><li>Discussion forums </li></ul></ul><ul><ul><li>Peer - to - peer networks </li></ul></ul><ul><li>The explosion of Web2 applications has seen more and more people publishing viewpoints on - line through social network sites. </li></ul><ul><li>People have a power to share their experiences and opinions (negative & positive). </li></ul>
  5. 5. Applications : <ul><li>Applications to review - related websites </li></ul><ul><li>Applications as a sub - component technology </li></ul><ul><li>Applications in business and government intelligence </li></ul>
  6. 6. Sentiment Analysis Benefits : <ul><li>Monitor changes of opinion over time. </li></ul><ul><li>Lower Cost. </li></ul><ul><li>Identify sources of feedback. </li></ul><ul><li>. </li></ul>
  7. 7. Sentiment Analysis Issues : <ul><li>The main issue is to identify how sentiments are expressed in texts. </li></ul><ul><li>Also, whether the expressions indicate positive or negative opinions toward the subject. </li></ul><ul><li>The analysis relies on simple terms and expressions. </li></ul><ul><li>Analysis doesn't consider &quot;degree&quot; of sentiment. </li></ul>
  8. 8. Examples : <ul><li>Evri </li></ul><ul><li>Twitter </li></ul>
  9. 9. Thank you for listening! Any Questions?

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