Computational Techniques for Text Summarization based on Cognitive Intelligence

7 Applications and Future Directions

DOI: 10.1201/9781003371199-7

7.1 Possible Directions in Modeling Text Summarization

Text summarization has been modeled using several techniques. Significant among them are:

1. Deep learning models
2. Topic modeling methods
3. Evolutionary models
4. Graph models
5. Classification model
6. Clustering model

Some main challenges in text modeling for summarization are:

• Different size of corpora and vocabulary makes modeling text summarization difficult.
• Complex structure of language and semantic representations are challenging for new languages.
• Long-term structure of language or sequencing based on language dictionaries becomes tough in text modeling.

7.2 Scope of Summarization Systems in Different Applications ...