Details
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Type:
New Feature
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Status: Resolved
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Priority:
Major
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Resolution: Invalid
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Affects Version/s: 3.5
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Fix Version/s: None
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Component/s: .compression, .indexing, .matching, .querying, .structures
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Labels:None
Description
Hi all,
I'm working on model to index and retrieve documents based on complex terms (like tem "Global_warming") instead of singl word terms:
so my question is about what are the classes that i should extend to take into account this issue ?
Many thanks
I'm working on model to index and retrieve documents based on complex terms (like tem "Global_warming") instead of singl word terms:
so my question is about what are the classes that i should extend to take into account this issue ?
Many thanks
Attachments
Activity
Thank you Chedi, your comment was helpfull for me
Not an issue at present I think.
i don't understand your question, why you don't index them, why you should extend terrier? i think you must simply idnex them, but the problem is that terrier will considerate them in the lexicon as seperate words, so you will not find Global_warming, but global and warming, is that the problem that you want to adress? in this case i think that you must not eliminate the caracter _ in the term pipline
if you have a solution tell me
best regards