"Sentiment Prediction through Text Mining"

Question

Hi there!

We would like to start building a sentiment predicting system. That system should be able to predict market humor about companies/products.
I know this is a complex task and I would like to get some tips about building such a system using Rapid Miner.

Would Text Classification with Cross Validation be suitable to separate good from bad news about a company X?

Do you recommend any books in this field?

Thank you very much and hope to get things going soon.

Braulio

Braulio · Answer

mierswa  wrote:

the text plugin contains an operator called "Segmenter".

The Text Plugin is GREAT, or, as I would say in German, Hammerhart

I will work at the Text Segmenter.

Thanks a lot

IngoRM · Answer

Hi,

the text plugin contains an operator called "Segmenter". It it a bit hard to configure but it should do the trick. Otherwise, your could crawl and / or segment the data yourself and let RapidMiner do the mining stuff.
Unfortunatelly I could not get to Dortmund to attend the seminars this week.

Yes, it's a shame - but I am sure we can get in touch later.

Cheers,
Ingo

Braulio · Answer

mierswa  wrote:

you could try to segment the data with the corresponding operators and see if the segments get different sentiment classifications.

How would you segment that Ingo? By each paragraph/phrase containing the targeted entities?

Thanks a lot.

Unfortunatelly I could not get to Dortmund to attend the seminars this week.

I am building a team to work in this area in Brazil (portuguese language) and I will certainly need some partners that have already the expertise in building such systems. Hope we can get in touch.

Vielen Dank ;)

Braulio Medina