Reputation: 1
I am new to data mining and currently working on an online news article from TOI in RapidMiner. My aim is to get results which shows the most important things mentioned in the article or to find the valuable information hidden in it.
I am done with document processing on the article "TOI manifesto" http://timesofindia.indiatimes.com/home/specials/lok-sabha-elections-2014/news/TOI-manifesto-An-agenda-for-the-new-government/articleshow/31973967.cms. I have applied tokenization, filtering and ngrams and got some result.
I'm stuck here. I don't know how to proceed further. Which technique/algorithm should I use in RapidMiner to get required results?
Upvotes: 0
Views: 331
Reputation: 77485
You are not looking for data mining. Data mining is advanced statistical methods.
Often with a focus on quantitative analysis.
You are looking for Natural Language Processing. You don't have a large database.
You have a single document. You don't want quantitative results, but qualiative. You are using the wrong tool.
Upvotes: 1