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Bloggers have been making a huge impact on society by representing and influencing the people. Topics like politics, sports, business and entertainment being written in blogosphere, generally represent the sentiments of the society. Also, blogging by nature is about expressing and listening to opinion. Hence a good sentiment detection tools, for blogs and other social media can be a useful tool for today s society. Currently, no sentiment analysis framework for information retrieval based on domain independent exist. In this book, I present Blogvox2, an information retrieval based domain…mehr

Produktbeschreibung
Bloggers have been making a huge impact on society by
representing and influencing the people. Topics like
politics, sports, business and entertainment being
written in blogosphere, generally represent the
sentiments of the society. Also, blogging by nature
is about expressing and listening to opinion. Hence a
good sentiment detection tools, for blogs and other
social media can be a useful tool for today s
society. Currently, no sentiment analysis framework
for information retrieval based on domain independent
exist.
In this book, I present Blogvox2, an information
retrieval based domain independent sentiment
analysis framework that uses customized pattern
matching techniques, such as nave bayesian filter,
bag of words and part of speech tagging are used for
opinion extraction in blogs. The modular framework
provides a platform where new modules for different
domains can be easily plugged in. Also, we developed
different applications to ease the use of our
framework like the two and four panel approach,
identifying the hot topics and also obtaining the
current top topics.
Autorenporträt
Sandeep Balijepalli received a M.S degree in Computer Science
from University of Maryland at Baltimore County in June 2007. His
thesis research was focused on developing a Modular domain
independent framework for information retrieval based on
Sentiment analysis approach. He is currently a Software Engineer
at Cisco Systems.