In my previous post about sentiment polarity, I talked about results from Pang et al (2002). One of the conclusions in that paper was that the presence of sentiment words led to better classification results than the frequency of words. In my experiment in that post, I used tf-idf, a frequency-based measure. I ran some [...]
Archive for September, 2008
Is presence really better than frequency?
Posted: 30 September 2008 in UncategorizedTags: computational linguistics, machine learning, opinion mining, reproducibility, sentiment analysis, svms
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Smiley Pareidolia
Posted: 30 September 2008 in UncategorizedTags: condensation, ice water, pareidolia, smiley
Pareidolia is the psychological phenomenon where people think they see some significant pattern or image in something random. This may be the face of Elvis in pork chop grease or the face of the Virgin Mary in a once-bitten sandwich. I have a coaster on my desk and an almost unempty glass of ice water, [...]
Deer Park
Posted: 24 September 2008 in UncategorizedTags: deer, hiking, parks, snakes, trails, walking
There was a gas shortage in Atlanta over the weekend, so I figured it was a good time to walk to work. Of course, I only use about an eighth of a tank per week if I do drive. Last week I found the path through the Greenway from my apartment to my office building, [...]
Sentiment Polarity
Posted: 16 September 2008 in UncategorizedTags: classification, computational linguistics, java, machine learning, opinion mining, python, ruby, sentiment analysis, support vector machines, svms
I’ve begun learning ruby for my new job, a language that doesn’t seem to have really gotten any traction in the NLP community (at least not that I’ve heard). I had been using python for my NLP stuff (homework and projects) and Java for my recommender system stuff. In retrospect, I could have used python [...]
New Dog Park
Posted: 12 September 2008 in UncategorizedTags: atlanta, dog parks, dogs, georgia, jobs, pittsburgh
Well, we have finally completed our move to Atlanta, GA. It amuses me how each city in the US arranges itself differently. Of course, this process can be traced by looking at the city’s history, if you’re really interested, but I’m not going to go into that further. Whereas Pittsburgh was arranged into neighborhoods, Atlanta [...]
