Classification of Blogs

Bloggers have different interest in writing blogs and this creates the different readers and types of blogs. However, the classification of blogs is more detailed compared to the types of blogs. Types may include political blogs or personal blogs but classification on the other hand has its own nature too. According to media analyst, Margaret Simons (Funnell, 2012), blogs can be classified to Pamphleteering blog, Digest blog, Advocate blog, Mechanics, Exhibition blog, Gate watcher, Personal blog, Advertisement and lastly new blog.

On the other hand, Desai and Shah (Machine Learning, n.d), classify blogs into age and gender of the author by 4 techniques which are Support Vector Machines, Logistic Regression, PCA and Euclidean Distance (instance based method) and K Means.

The classification of blogs from Simons is better compared to Desai and Shah because Simons classification is more precise by classifying to the type of readers search and the topic of what the readers are searching. Desai and Shah's method lean more towards statistics and numbers which classify blogs through age and gender which feature the bag of words, stemming, spell correction and  calculating occurrence of words in the blog. Simons way is more specific and easy to acknowledge where she narrowed down the subject matter of the blog for classifying purpose.

References:

Desai & Shah, n.d, 'Machine Learning: Classification of Blogs Team: mENIACs', journal viewed 17 March 2012, journal retrieved from <http://www.cis.upenn.edu/~priyank/projects/Classification_of_Blogs.pdf>.

Funnel, A 2012, ' A Taxonomy of Blogs' website viewed 17 March 2012, website retrieved from <http://www.abc.net.au/radionational/programs/mediareport-1999/a-taxonomy-of-blogs/3186686>.