E. F. Ayetiran

Attention-based aspect sentiment classification using enhanced learning through cnn-Bilstm networks

E. F. Ayetiran, 2022, Knowl. Based Syst..

Text classification with word embedding regularization and soft similarity measure pdf

Vít Novotný, Eniafe Festus Ayetiran, Michal Stefánik, 2020, ArXiv.

A Data Mining-Based Response Model for Target Selection in Direct Marketing

Eniafe Festus Ayetiran, A. B. Adeyemo, Adesesan Barnabas Adeyemo, 2012 .

Quo Vadis, Math Information Retrieval

Vít Novotný, Eniafe Festus Ayetiran, Petr Sojka, 2019, RASLAN.

Social Unrest Prediction Through Sentiment Analysis on Twitter Using Support Vector Machine: Experimental Study on Nigeria’s #EndSARS

E. F. Ayetiran, Temidayo Michael Oladele, 2023, Open Information Science.

Algorithm for Information Retrieval optimization

Kehinde K. Agbele, Daniel O. Ekong, Kehinde D. Aruleba, 2016, 2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).

When FastText Pays Attention: Efficient Estimation of Word Representations using Constrained Positional Weighting

Petr Sojka, Michal Štefánik, E. F. Ayetiran, 2021, J. Univers. Comput. Sci..

EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses pdf

Eniafe Festus Ayetiran, Petr Sojka, V'it Novotn'y, 2021, Knowl. Based Syst..

One Size Does Not Fit All: Finding the Optimal Subword Sizes for FastText Models across Languages

Petr Sojka, Michal vStef'anik, V'it Novotn'y, 2021, RANLP.

One Size Does Not Fit All: Finding the Optimal N-gram Sizes for FastText Models across Languages pdf

Vít Novotný, Eniafe Festus Ayetiran, Petr Sojka, 2021, ArXiv.