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Prediction of updates -- 2

Hi,

I have a set of incidents with certain text named short description (text is in bilingual) with [login to view URL] updates.

Now, I want to predict [login to view URL] updates for a new incident based on past incident data sets.

How?

1)Text pre-processing

a) Cleaning the short description column

b) Creating two columns for each language separately

2) Prediction model from past data

a) Calculating TF-IDF value individually for each language

b) Estimation the category(as either High/Low) based on Naive Bayes classifier(F1-measure)

Few details....

Data format: CSV

Data size: 11200 rows

no. of updates class for categorizing :

1)High--if updates >= 12

2)Low--if upddates <12

Further details will be sent personally

Skills: Data Cleansing, Data Mining, Data Processing, Machine Learning (ML), Python

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