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Department: Industrial Resurgence, Entrepreneurship Skill

Development and Patent

• Computation of score from Text Corpus of a Curriculum Vitae, using

techniques of Natural Language Processing .

• Recommend changes to make it a better one.

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Motivation (Problem Statement)

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• It will not only help the recruiters to select applicants but also the job seekers

will be benefitted.

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Importance of the Model ( )

• Text corpus of CV in any format as input.

• Using basic NLTK tools (Natural Language Processing Tools) like Tokenizer,

Stop Word Remover for pre-processing.

• Checking for the presence of each Token according to the algorithm.

• Calculating score and grade from this.

• Suggesting it as an area of improvement.

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Implementation ( )

Method ( )

START

Method ( )

START INPUT TEXT

CORPUS OF

CV

Method ( )

START INPUT TEXT

CORPUS OF

CV

TOKENIZE

Method ( )

START INPUT TEXT

CORPUS OF

CV

TOKENIZE

USE

ALGORITHM

Method ( )

START INPUT TEXT

CORPUS OF

CV

TOKENIZE

USE

ALGORITHM

OUTPUT: SCORE,

GRADE &

RECOMMENDATIONS

Method ( )

START INPUT TEXT

CORPUS OF

CV

TOKENIZE

USE

ALGORITHM

OUTPUT: SCORE,

GRADE &

RECOMMENDATIONS

STOP

Discussions ( )

Future Works & Improvements • Integrate Image Processing ( ) techniques with this

model so that it can comprehend the text from images of the

• Implement Neural Networks to increase its efficiency. (

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Model as an Idea for Entrepreneurship ( )

• Web service to Job Seekers for standardizing their CV. This service is expected

to give a good monetary return.

• A software built using the stated algorithm can be installed in devices (like

Smart Phones) which will scan CVs using its camera and evaluate it. Thus, a

business of such shelling such software is supposed to be highly profitable.

• ( ) –

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• http://www.images.google.com

• http://blog.internshala.com/2013/05/resume-score-calculator/

• http://nlp.stanford.edu/sentiment/

• http://www.nltk.org/

• Jacob Perkins, “Python Text Processing with NLTK 2.0 Cookbook”,

PACKT publishing I

• Bing Liu, “Sentiment Analysis and Opinion Mining”, Morgan and

Claypool Publishers, May 2012.

References ( )

Question and Answer( )

Thanks!!! For Being Patient