| Autor: |
Ali Hasan, Sana Moin, Ahmad Karim, Shahaboddin Shamshirband |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
|
| Zdroj: |
Mathematical and Computational Applications, Vol 23, Iss 1, p 11 (2018) |
| Druh dokumentu: |
article |
| ISSN: |
2297-8747 |
| DOI: |
10.3390/mca23010011 |
| Popis: |
Growth in the area of opinion mining and sentiment analysis has been rapid and aims to explore the opinions or text present on different platforms of social media through machine-learning techniques with sentiment, subjectivity analysis or polarity calculations. Despite the use of various machine-learning techniques and tools for sentiment analysis during elections, there is a dire need for a state-of-the-art approach. To deal with these challenges, the contribution of this paper includes the adoption of a hybrid approach that involves a sentiment analyzer that includes machine learning. Moreover, this paper also provides a comparison of techniques of sentiment analysis in the analysis of political views by applying supervised machine-learning algorithms such as Naïve Bayes and support vector machines (SVM). |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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