"Sentiment Analysis similar to Vancouver Text Analytics Part 5 video"
bmartin
New Altair Community Member
Hi,
I've been following the excellent Vancouver Blog Part 5 Automatic Classification of Documents Part 5 video.
I'm using RapdiMiner 5.1.003 and am attempting to do the following:
However, when i run the program the Process Documents from Data outputs one column - seems to concatenate the ID, MESSAGE and sentiment type. The sentiment type (or ID) is not available for selection in the 'Set Role' operator.
Even when I click the 'add meta information' in the 'Process Documents from Data' operator it does the same.
Anyone know how to get around this issue?
Thanks in advance,
Brian
I've been following the excellent Vancouver Blog Part 5 Automatic Classification of Documents Part 5 video.
I'm using RapdiMiner 5.1.003 and am attempting to do the following:
- Read from Oracle XE table containing 3 columns: ID, MESSAGE, and SENTIMENT_TYPE - to explain the ID is a unique identifier, the MESSAGE is a tweet and the SENTIMENT_TYPE describes whether the message is negative, positive, or neutral (i.e. a label)
- Convert from Nominal to Text
- Process documents from Data including transform case, stemming, tokenise
- Select Attribute and then Set role
However, when i run the program the Process Documents from Data outputs one column - seems to concatenate the ID, MESSAGE and sentiment type. The sentiment type (or ID) is not available for selection in the 'Set Role' operator.
Even when I click the 'add meta information' in the 'Process Documents from Data' operator it does the same.
Anyone know how to get around this issue?
Thanks in advance,
Brian
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Many thanks - very useful process to use...0