Text Mining with Python for Introduction to Projec

Stok Kodu:
9786254069734
Boyut:
16x24
Sayfa Sayısı:
234
Baskı Sayısı:
1
Basım Tarihi:
2021
Kapak Türü:
Ciltsiz
Kağıt Türü:
1. Hamur
Dili:
İngilizce
%18 indirimli
200,00
164,00
Taksitli fiyat: 3 x 56,85
Temin süresi 4 gündür.
9786254069734
726467
Text Mining with Python for Introduction to Projec
Text Mining with Python for Introduction to Projec
164.00

Text mining has a long and reach history with variations of natural language processing methods for many different fields, from pharmaceutical to news sentiments. Project management is also a mature application domain since 60s and it has lots of principles, assumptions, constraints, guidance, knowledge areas, methodologies and processes for many years. One of the fruits of project management is case studies, an output that can expose the level of project management that it yields. This work is an attempt to scrutinize the output with help of what we know and probe the practicality of theories.

The libraries that were used include nearly all attributes that exist, from Gensim to Dirichlet, cosine similarity to Vader scores. Per project management perspective, maturity models were examined and from wide applicability perspective, KPM3 (Kerzner Project Management Maturity Model) was selected. Model originally has 5 Levels, from Common Languages to Continuous Improvement. Aiming to detect a duality between theory and practice, in the light of PMBOK taxonomies, we have more sticked with Level 1.
In one sentence, SMBs are more knowledgeable than we expect, but they apply less than we know.

Text mining has a long and reach history with variations of natural language processing methods for many different fields, from pharmaceutical to news sentiments. Project management is also a mature application domain since 60s and it has lots of principles, assumptions, constraints, guidance, knowledge areas, methodologies and processes for many years. One of the fruits of project management is case studies, an output that can expose the level of project management that it yields. This work is an attempt to scrutinize the output with help of what we know and probe the practicality of theories.

The libraries that were used include nearly all attributes that exist, from Gensim to Dirichlet, cosine similarity to Vader scores. Per project management perspective, maturity models were examined and from wide applicability perspective, KPM3 (Kerzner Project Management Maturity Model) was selected. Model originally has 5 Levels, from Common Languages to Continuous Improvement. Aiming to detect a duality between theory and practice, in the light of PMBOK taxonomies, we have more sticked with Level 1.
In one sentence, SMBs are more knowledgeable than we expect, but they apply less than we know.

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Taksit Sayısı Taksit tutarı Genel Toplam
Tek Çekim 164,00    164,00   
2 83,64    167,28   
3 56,85    170,56   
ZİRAAT BANKASI
Taksit Sayısı Taksit tutarı Genel Toplam
Tek Çekim 164,00    164,00   
2 83,64    167,28   
3 56,85    170,56   
GARANTİ BANKASI
Taksit Sayısı Taksit tutarı Genel Toplam
Tek Çekim 164,00    164,00   
2 83,64    167,28   
3 56,85    170,56   
İŞ BANKASI
Taksit Sayısı Taksit tutarı Genel Toplam
Tek Çekim 164,00    164,00   
2 83,64    167,28   
3 56,85    170,56   
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