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Algorithm Library

Utilization Algorithms and Libraries

Software and Library


No.

SW & Library

Function

1

Python 3.5.3

Python Engine

2

KoNLPy 0.5.1

Python based Korean NLP engine

Using Open Korea Text Dictionary

3

Gensim 0.13.4

Default Doc2Vec Engine

Topic Modeling Engine

4

Scikit-learn 0.19.1

Python’s Machine Learning Library

Classify vectors generated from Doc2Vec

5

Plotly 3.4.2

Python visualization library

Interactive visualization possible

6

Dash 0.28.1

Web-based Python Interface

Provide Dash Table

7

Flask 1.0.2

Python Web Framework

Integration with Dash

8

Pandas 0.23.4

Python Data analysis toolkit
Data processing in the form of DataFrame

9

Numpy 1.15.1

Library on which Python calculations 
are based Array data processing



Algorithm


No.

Algorithm

Function

1

Doc2Vec(Document to Vector)

Format texts, unstructured data, 

into words and document vectors

2

t-SNE(Stochastic Neighbor Embedding)

An algorithm that reduces multidimensional 

vectors to two dimensions,

Used for data visualization

3

k-means clustering

Used to cluster embedded documents

4

hierachical clustering

Used to see hierarchical structure among business

5

LDA(Latent Dirichlet Allocation)

Topic Modeling Algorithms

Used to identify topics in clusters

6

RF(Random Forest)

Classifier for classifying document 

data formatted as vectors

7

DL(Deep Learning)

8

GBM(Gradien Boosting Machine)

9

GLM(Generalized Linear Model)

10

SVM(Support Vector Machine)



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