The main aim of SenticNet is to make the conceptual and affective information conveyed by natural language (meant for human consumption) more easily-accessible to machines.
I recently created a demo for some prospective clients of mine, demonstrating how to use Large Language Models (LLMs) together with graph databases like Neo4J.
The two have a lot of interesting interactions, namely that you can now create knowledge graphs easier than ever before, by having AI find the graph entities and relationships from your unstructured data, rather than having to do all that manually.
On top of that, graph databases also have some advantages for Retrieval Augmented Generation (RAG) applications compared to vector search, which is currently the prevailing approach to RAG.
B. Pang, and L. Lee. Proceedings of the Association for Computational Linguistics (ACL), page 271--278. Association for Computational Linguistics, (2004)
S. Basu, A. Banerjee, and R. Mooney. Proceedings of the 2004 SIAM International Conference on Data Mining, page 333--344. Lake Buena Vista, FL, Society for Industrial and Applied Mathematics, (April 2004)
H. Zhuang, T. Hanratty, and J. Har. Proceedings of the 2019 SIAM International Conference on Data Mining, Society for Industrial and Applied Mathematics, (May 2019)
R. Snow, B. O'Connor, D. Jurafsky, and A. Ng. EMNLP '08: Proceedings of the Conference on Empirical Methods in Natural Language Processing, page 254--263. Morristown, NJ, USA, Association for Computational Linguistics, (2008)
H. Danner, G. Hagerer, F. Kasischke, and G. Groh. Conference Proceedings of "3rd International Conference on Advanced Research Methods and Analytics", page 211-219. Valencia, Spain, Editorial Universitat Politècnica de València, (July 2020)
C. Baziotis, N. Pelekis, and C. Doulkeridis. Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), page 390-395. Association for Computational Linguistics, (2017)
M. Kusner, Y. Sun, N. Kolkin, and K. Weinberger. Proceedings of the 32Nd International Conference on International Conference on Machine Learning - Volume 37, page 957--966. JMLR.org, (2015)
Z. Yang, D. Yang, C. Dyer, X. He, A. Smola, and E. Hovy. Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, page 1480--1489. (2016)
N. Hossain, J. Krumm, and M. Gamon. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), page 133--142. (2019)