Home
Discussions
Community Q&A
"Positve - Neutral - Negative Sentiment Analysis"
Legacy User
Folks,
This is a open question to all - Has anybody created a model that they would share in this forum for executing sentiment analysis on text data so that a large volume of info can be classified as positive, negative or neutral?
Many thanks!
Find more posts tagged with
AI Studio
Sentiment Analysis
Accepted answers
All comments
earmijo
Download the RapidMiner-Text Add In. You can go through some of the examples that come with the add-in. I remember one of them is exactly what you want.
IngoRM
Hello,
I think newstuff is more interested in the final model than in the model building itself, right?
I am afraid that such a sentiment model is not freely available and I since the data collection and manual labeling is probably the hardest part I also doubt that anyone is going to share this for free.
By the way, we provide the prediction of sentiments as a Web Service within our new product RapidSentilyzer and you can contact us if you are interested at contact@rapid-i.com
Cheers,
Ingo
Legacy User
Thanks to all! Ingo is right. At this stage, I am looking for a working model.
I have the plugin and been through the examples and have cobbled together a rudimentary model. But, it is not clear to me that I am truly building my sentiment analysis experiment to a successful and useful end-point. I have an Excel sheet that contains the comments that I want to classify as positive, neutral, or negative. My goal is to do this classification within RM. I have done a great deal of manual coding of user comments and it is very time consuming and labour intensive. I agree that the data is definitely proprietary; however, my hope is that the framework, in the form of a RM experiment, for producing a sentiment analysis may live somewhere within the RM open source community.
Thanks!
Quick Links
All Categories
Recent Discussions
Activity
Unanswered
日本語 (Japanese)
한국어(Korean)