Automatic summarization is the process of reducing a text document with a computer program in order to create a summary that retains the most important points of the original document. This algorithm takes in large blocks of unstructured text, and extracts key topic sentences based on frequency of key terms and rank the sentence. This algorithm build specifically for Malay text.
Applicable Scenarios and Problems
- To reduce reading time
- To have better and easier selection process for text documents with the present of the document's summary.
- Automatic text summarization not influenced by human biased.
- Indexing effectiveness can be increase using automatic summarization.
- Automatic text summarization helping commercial abstract services to process more number of texts.
Below are the input parameter:
|text||Malay text to be summarize|
|summaryLength||Value from 0.01 to 0.99|
|keyTermsWanted||Boolean value to show the key terms rank|
|numKeyTerms||number of most important key terms to be display|
Below are the output parameter:
|keyTerms||The most important key terms that influence the summary|
|summary||Automatic generated summary based on key terms and summaryLength|
This algorithm is edited version of this English text summarizer