Text Mining and Knowledge Discovery from Big Data: Challenges and Promise

With the fast development of networking, data storage, and the data collection capacity, Big Data is now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. This paper presents text mining and the ways used to categorize document structure techniques in big data. This subject poses a big challenge when it comes to guaranteeing the quality of extracted features in text documents to describe user interests or preferences due to large amounts of noise. This subject has many models and algorithms but still needs more to achieve best results for users, making this an open issue that needs more research.