Name
Abstract | ||
|---|---|---|
An agreement between a user and also the owner of a software program known as software license that allows a user to try to certain things that will somewhat be an infringement of copyright law. Typically, a software license agreement is based on set of rules that a user has to comply with while using the software. Sometimes, the price of the software and licensing fees is usually described elsewhere, but also discussed in the licensing agreement, however, typically used catchphrases in software License Agreement make the text of the agreement complex for a common user. Most of the users are very keen to understand the agreement before purchasing software, and it's very necessary for users and business managers to understand these agreements due to further use this software, because these software's are high cost and risky. In this paper, a semi supervised approach is presented to extract catchphrases from software license agreement and provide meanings to minimize the understanding complexity for a reader. The results of experiments show that the proposed approach for automatic extraction of catchphrases from software license agreements make its interpretation easy and straightforward. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.17706/jcp.12.5.451-461 | JOURNAL OF COMPUTERS |
Keywords | Field | DocType |
Catchphrases,legal text,natural language processing,software license | Computer science,Natural language processing,Artificial intelligence,Machine learning | Journal |
Volume | Issue | ISSN |
12 | 5 | 1796-203X |
Citations | PageRank | References |
1 | 0.35 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Imran Sarwar Bajwa | 1 | 87 | 22.31 |
| Fatim Karim | 2 | 1 | 0.35 |
| M. Asif Naeem | 3 | 102 | 19.73 |
| Riaz ul Amin | 4 | 1 | 0.35 |