Text mining using IBM SPSS Modeler


I am looking for someone who is very good in IBM SPSS Modeller.

I have a set of call-center logs that need to be mined. it is a free text and you have to use SPSS modeler software to do it. i will not accept any other software.

the objective is:

to use text mining on some call-center logs to create meaningful and actionable categories that may include sentiments eg: Positive, negative or mixed. How the text mining of the data can help the call center as well as the customer

i have already created the stream and the categories. However i need you to narrow down on only 2 particular categories.

The job is simple, I will pass u the data and the original stream i created. You need to use (CRISP-DM) method to explain on the 2 categories that i have identified for you.

You need to score this categories and explain and give suggestion to improve.

the requirements:

1. Must have a IBM SPSS Modeler 14.1

2. Must know about Text mining IN the Modeler

3. Able to understand and explain such as the Cross Industry Standard Process for Data Mining (CRISP-DM) which defines six phases:

(1) Business Understanding

(2) Data Understanding

(3) Data Preparation

(4) Modeling

(5) Evaluation

(6) Deployment

4. Must be contactable always,

5. Must be able to explain the solution and outcome of the text mining, (Concepts,scoring, etc...)

6. Must be able to extract resource template from one stream and put it onto another stram.

7. Able to present in a proper report format

You will have to use IBM SPSS software to do text mining and need to present to me in a proper report with all the steps and the outcome and your explanation.

I will need it to be completed in 2 parts within 2 weeks.

the first part will be

Analyzing the data that i will be providing and understanding the data .

1. Analise the stream that i provide,

2. extract the resource library from the original .sav file and

3. export the resource file for the original file and import it to my new stream

4. run the date and explain what you see and understand

5. and follow the crisp-dm method :explain

(1) Business Understanding

2) Data Understanding

(3) Data Preparation

(4) propose Modeling

the 2nd and last part are:

(4) Modeling

(5) Evaluation

(6) Deployment/ Recommendation

the first part has to be done in 1 week and the rest to be completed in 2nd week

i will pay $100 for this job

Skills: Business Analysis, Data Mining

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About the Employer:
( 0 reviews ) Singapore, Singapore

Project ID: #5396705

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