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Clustering for a start

Clustering algorithms find natural structure in data and can be used in any domain where the similarity between two data points can be quantified. In terms of Twitter, we will try to group users depending on the most prevalent topics they tweet about. A simple approach is to represent a user with his/her latest 100 [...]

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A 46.8% positive introduction to Sentiment Analysis

Few Natural Language Processing (NLP) tools are touted as “blatantly useful” as often as sentiment analysis. Companies want to know why their products are bad, and they want to know it automatically. Past Some of the first automatic sentiment classification experiments used film reviews as data. You have the actual text, and you have the [...]

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String similarity measures for cheese

We want to know how “close” words are to other words. A similarity measure is a function that gives a score to two words (or more generally, character strings). For example, we want the distance between “ppl” and “people” to be low, but the distance between “ppl” and “cheese” to be far. In an automated [...]

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An example of topic models on the web

Have you ever followed someone on Twitter expecting great tweets, but instead you only see tweets about coffee and muffins? Topic models will come to your rescue. It all comes down to the fact that users need more control on Twitter.  Let’s be honest: most tweets in your stream only receive a cursory glance. Have [...]

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Some observations about the NUS collection of SMSs

  Ya i am doin too much.hereafter i wnt ask any one Hey sorry I didnt give ya a a bell earlier hunny, just been in bed but mite go 2 the pub l8tr if u wana mt up? loads a luv Jen. Pay credit card bill for my sis… Ur sis lesson until wat [...]

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Semantics, tagging and Twitter:

Another failed “Semantic Web” experiment, or a potential gold mine? Twitter recently announced a new development, called “Annotations”, at the Chirp Twitter developers’ conference. Annotations is a way of adding additional metadata to your tweets, and is in many ways arguably an inevitable expansion of their original self-imposed 140 character limit, which has since become [...]

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