data extraction and data classification with the result of comparison.

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

PHASE 1: PRE-PROCESSING RELATED NEWS ARTICLES OF SOUTH CHINA

SEA (SCS)

Data Collection

Collecting online news articles

related with SCS dispute

Output: Clean and

understandable data

format.

Pre-Processing

1. Tokenization- To split them into individual words. 2. Stop word Removal- remove the common words

PHASE 2: DATA EXTRACTION AND DATA CLASSIFICATION

Implementation of NER and POS techniques To implement NER and POS techniques

Output:

Classification

according type of SCS

conflicts respectively.

Data classification using KNN and SVM

To investigate both classifiers and classify the SCS terms to its group respectively which are LAW, ECONOMICAL, TERRITORIAL, RESOURCES

PHASE 3: COMPARE ACCURACY OF SVM AND KNN AS CLASSIFIERS

Output:

measurement

Percentage using

precision, recall and F-

score measurement

Comparison of two techniques, KNN and SVM

Test and validate the performance of each technique by

using precision, recall and F-score.

Figure 3.1

Research Framework

Attachments:

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