Kapalı

Write some Software

System requirement:

We need to build keywords extraction system that have 4 different approaches to extract KW.

the main approach extract keywords from text document depending on the word senses, and it can have the following levels :

•-Preprocessing :

1- filtering:

Convert all the letters in to low-case, remove any special simples.

2- stop-word remover: removing all the words that have no meaning

(ex: is, are, the)

that can be done by using stop-word list.

3-stemming: removing all the attached parts from the original words

(ex: removing--> remove)

that can be done by using porter algorithm.

4-POS tagging:

tag all the words with its part of speech

(ex:

play--> play-verb,

car-->car-noun,

fast--> fast -adj.)

•-Word Sense Disambiguation-WSD:

This problem need to be solve, to do that we can use WordNet dictionary.

•-Clustering:

We need to cluster the keywords base on the word senses, and I'm flexible in that step, any thing can do the task it's ok to be used.

•-select KW

We can use any statistical method to select the final KW from the clusters like RAK scoring.

The rest 3 approaches:

1. N-gram generation composed with keyword-selection by TF/IDF scoring.

2. N-gram generation composed with filtering by PoS pattern.

3. N-gram generation composed with keyword-selection by RAKE scoring

After that we need to evaluate the 4 approaches with each other and the first approach must show the best result .

The test data will be (20 newsgroup data set), not all the set, only 500 file will be good.

Also i need help in the documentation and paper works, and the work need to be done in 2 weeks .

Beceriler: Mühendislik, MySQL, PHP, Yazılım Mimarisi, Yazılım Geliştirme

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İşveren Hakkında:
( 0 değerlendirme ) Egypt

Proje NO: #6530674

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buraqtech

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C0RETECHIES

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mmadi

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letshappy

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phamtech211

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KeepTummypTummy

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groupittech

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sflogics

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williamgranzotto

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Akoula

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