Gamma-Poisson Distribution Model for Text Categorization

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="829630.fig.0010a" src="https://static.hindawi.com/articles/isrn/volume-2013/829630/figures/829630.fig.0010a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>20 Newsgroups</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="829630.fig.0010b" src="https://static.hindawi.com/articles/isrn/volume-2013/829630/figures/829630.fig.0010b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Reuters-21578</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="829630.fig.0010c" src="https://static.hindawi.com/articles/isrn/volume-2013/829630/figures/829630.fig.0010c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>Industry Sector</td></tr></table></td></tr><tr class="fig-image" id="d"><td><img alt="829630.fig.0010d" src="https://static.hindawi.com/articles/isrn/volume-2013/829630/figures/829630.fig.0010d.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(d) </b>TechTC-100</td></tr></table></td></tr></table>

<table>Probability of the occurrence of a considered term in the most relevant category, <svg height="19.125" id="M300" style="vertical-align:-5.56921pt" version="1.1" viewbox="0 0 51.037498 19.125" width="51.037498" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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<g transform="matrix(.017,-0,0,-.017,45.088,12.138)"><path d="M275 270q0 -296 -211 -440l-19 23q75 62 116.5 174t41.5 243t-42 243t-116 173l19 24q211 -144 211 -440z" id="x29"></path></g>
</svg>, for the most frequent 2,000 terms.</table>

International Scholarly Research Notices

Gamma-Poisson Distribution Model for Text Categorization

Figure 10