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Results tagged with text-mining
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user 38492
Refers to a subset of data mining concerned with extracting information from data in the form of text by recognizing patterns. The goal of text mining is often to classify a given document into one of a number of categories in an automatic way, and to improve this performance dynamically, making it an example of machine learning. One example of this type of text mining are spam filters used for email.
2
votes
1
answer
349
views
How to estimate probabilities of different classes for a Text
Suppose I have a piece of writing and I want to assign probabilities to different genres (classes) based on its contents. For example
Text #1 : Comedy 10%, Drama 50%, Fiction 20%, Romance 1%, Myth …
- 264
2
votes
1
answer
634
views
Getting unexpected result while using CountVectorizer()
I am trying to use CountVectorizer() in a loop, But I am getting an unexpected result. On the other hand, if I use it outside the loop then it works fine. I believe there is some small problem with th …
- 264
3
votes
2
answers
441
views
Need help with entity tagging
I need to design a system which can identify movie and production company names in a sentence.
The approach that comes to my mind is to train a NER Named-entity recognition system on labeled data so …
- 264
3
votes
2
answers
3k
views
How to use different classes of words in CountVectorizer()
Suppose I have a piece of writing and I want to assign probabilities to different genres (classes) based on its contents. For example
Text #1 : Comedy 10%, Horror 50%, Romance 1%
Text #2 : Co …
- 264