kmandcomputing.blogspot.com
Knowledge Discovery and Opinion Mining: Sentiment Classification at RCOMM 2011
http://kmandcomputing.blogspot.com/2011/09/sentiment-classification-at-rcomm-2011.html
Knowledge Discovery and Opinion Mining. Explorations on current issues in opinion mining, knowledge discovery, tools and techniques. Sunday, September 25, 2011. Sentiment Classification at RCOMM 2011. Earlier this year I gave a presentation on Sentiment Classification at the 2011 RapidMiner User Conference. In Dublin. I have posted the slides on Slideshare. RCOMM 2011 - Sentiment Classification. And here's the full article. For the above presentation with a more detailed discussion on the results obtained.
kmandcomputing.blogspot.com
Knowledge Discovery and Opinion Mining: Sentiment Classification and Opinion Lexicons
http://kmandcomputing.blogspot.com/2011/02/sentiment-classification-and-opinion.html
Knowledge Discovery and Opinion Mining. Explorations on current issues in opinion mining, knowledge discovery, tools and techniques. Wednesday, February 2, 2011. Sentiment Classification and Opinion Lexicons. My dissertation was an investigation on how lexicons perform on sentiment classification of film reviews - this work was later expanded and incorporated into a chapter on the book " Knowledge Discovery Practices and Applications in Data Mining - Trends and New Domains. Book in Amazon.com. Using Seni...
kmandcomputing.blogspot.com
Knowledge Discovery and Opinion Mining: Digital Memories - A Google TechTalk
http://kmandcomputing.blogspot.com/2008/07/digital-memories-google-techtalk.html
Knowledge Discovery and Opinion Mining. Explorations on current issues in opinion mining, knowledge discovery, tools and techniques. Friday, July 11, 2008. Digital Memories - A Google TechTalk. In this video, Steve Whittaker from Sheffield University. This video has a very interesting slide on research results showing how we tend to apply counter productive strategies for dealing with information overload (an idea I had already heard about on Merlin Mann's techtalk on Inbox Zero. WEKA Toolkit for Data Mi...
kmandcomputing.blogspot.com
Knowledge Discovery and Opinion Mining: Parameter Testing - Letting RapidMiner Do The Hard Work
http://kmandcomputing.blogspot.com/2009/09/parameter-testing-letting-rapidminer-do.html
Knowledge Discovery and Opinion Mining. Explorations on current issues in opinion mining, knowledge discovery, tools and techniques. Tuesday, September 8, 2009. Parameter Testing - Letting RapidMiner Do The Hard Work. In a previous post. The number of combined possibilities on how to tune a classification task however grows fast and testing them manually can become tedious very quickly. This is where parameterization can help. On RapidMiner, under Meta - Parameter. Step 1 - Attribute Weighting and Select...
kmandcomputing.blogspot.com
Knowledge Discovery and Opinion Mining: Opinion Mining with RapidMiner - A Quick Experiment
http://kmandcomputing.blogspot.com/2008/06/opinion-mining-with-rapidminer-quick.html
Knowledge Discovery and Opinion Mining. Explorations on current issues in opinion mining, knowledge discovery, tools and techniques. Monday, June 23, 2008. Opinion Mining with RapidMiner - A Quick Experiment. I noticed some images were lost from my original post from 2008 (which I no longer have). While the contents below are still valid, they are a bit old now. For a more up-to-date description of sentiment classification with RapidMiner, a similar experiment is detailed in my RCOMM presentation. The Te...
kmandcomputing.blogspot.com
Knowledge Discovery and Opinion Mining: Experiment Databases
http://kmandcomputing.blogspot.com/2008/05/experiment-databases-repository-for.html
Knowledge Discovery and Opinion Mining. Explorations on current issues in opinion mining, knowledge discovery, tools and techniques. Saturday, May 10, 2008. A repository with results on data mining experiments. At a high level, the relational data model consists of an experiment. Where the test is run, and results on a model. There is also scope for storing parameters of each learner, and ensemble experiments. Check out some examples of queries here. Bruno Ohana, Dublin, Ireland. June 17, 2008 at 3:17 AM.
kmandcomputing.blogspot.com
Knowledge Discovery and Opinion Mining: At the ICCBR 2012 Conference
http://kmandcomputing.blogspot.com/2012/11/at-iccbr-2012-conference.html
Knowledge Discovery and Opinion Mining. Explorations on current issues in opinion mining, knowledge discovery, tools and techniques. Sunday, November 11, 2012. At the ICCBR 2012 Conference. Back in September I took part in the. Conference in Lyon. I had a chance to present our research in Case-Based methods for sentiment classification as a main conference paper, and also take part in the. All in all, a great experience. A Case-Based Approach to Cross Domain Sentiment Classification. Subscribe to: Post C...
kmandcomputing.blogspot.com
Knowledge Discovery and Opinion Mining: Online Tools for Sentiment Classification - Part I
http://kmandcomputing.blogspot.com/2013/03/online-tools-for-sentiment.html
Knowledge Discovery and Opinion Mining. Explorations on current issues in opinion mining, knowledge discovery, tools and techniques. Sunday, March 31, 2013. Online Tools for Sentiment Classification - Part I. Seeing Sentiment Analysis in action is a good way of getting a feel for what the tasks are about, and what techniques are in use today. In this post I survey some of the research interfaces available online which you can use on your favorite piece of text. In this tutorial demo by Stanford Professor.
kmandcomputing.blogspot.com
Knowledge Discovery and Opinion Mining: A Lexicon Based Sentiment Classifier in Python
http://kmandcomputing.blogspot.com/2014/09/a-lexicon-based-sentiment-classifier-in.html
Knowledge Discovery and Opinion Mining. Explorations on current issues in opinion mining, knowledge discovery, tools and techniques. Sunday, September 28, 2014. A Lexicon Based Sentiment Classifier in Python. This post discusses lexicon-based sentiment classifiers, its advantages and limitations, including an implementation, the Sentlex.py library. Using Python and NLTK. We want to explore lexicon-based approaches to sentiment classification. These methods use a language resource - a sentiment lexicon.