Shweta Rana Knihy

Die rasante Zunahme nutzergenerierter Inhalte im Internet hat die Bedeutung von Sentiment Mining hervorgehoben, insbesondere für die Analyse von Produktbewertungen und Meinungen in Foren und Blogs. Angesichts der Vielzahl an Informationsquellen wird ein automatisiertes System zur Meinungsfindung und -zusammenfassung benötigt, um die Herausforderungen der Meinungsanalyse zu bewältigen. Während bereits Ansätze für verschiedene Sprachen existieren, wird in dieser Arbeit eine neuartige Methode zur Stimmungsanalyse spezifisch für Hindi-Texte vorgestellt.

SENTIMENT MINING which is the latest topic for research now-a-days, especially with the explosive growth of the user generated content on the Web, the world has changed. One can post reviews of products at merchant sites and express views on almost anything in Internet forums, discussion groups, and blogs. Now if one wants to buy a product, it is no longer necessary to ask one's friends and families because there are plentiful of product reviews on the Web which give the opinions of the existing users of the product. .Finding opinion sources and monitoring them on the Web, however, can still be a formidable task because a large number of diverse sources exist on the Web and each source also contains a huge volume of information. An automated opinion mining and summarization system is thus needed. Opinion mining, also known as sentiment analysis, grows out of this need. Many approaches have been developed for sentiment mining for English, Chinese and Arabic texts. Here in my work I have proposed a method for sentiment mining for hindi text.