查看文章

The availability of social media-based data creates opportunities to obtain information about consumers, trends, companies and technologies using text mining techniques. However, the quality of the data is a significant concern for social media-based analyses. The aim of this study was to mine tweets (microblogs) to explore trends and retrieve ideas for various purposes such as product development, technology and sustainability-oriented considerations. The core methodological approach was to create a classification model to identify tweets that contained an idea. This classification model was used as a pre-processing step so the query results obtained from the application programming interface were cleared from the messages that contained the search terms used in the query but did not contain an idea. The results of this study demonstrate that our method based on text mining, and supervised or semi …