May 21, 2019 · Our neural network models can predict the ratings with an average F-score of 0.77 which largely outperforms the competitive baseline method.

This work uses the largest open repository---TED Talks---to predict the ratings provided by the online viewers and uses a word sequence based recurrent ...

We use a word sequence based recurrent architecture and a dependency tree based recursive architecture as the neural networks for predicting the TED talk ...

Automated prediction of public speaking performance enables novel systems fortutoring public speaking skills. We use the largest open ...

The dataset contains over 2200 talk transcripts and the associated meta information including over 5.5 million ratings from spontaneous visitors to the website.

May 21, 2019 · A Causality-Guided Prediction of the TED Talk Ratings from the. Speech-Transcripts using Neural Networks. Md Iftekhar Tanveer1, Md Kamrul ...

A Causality-Guided Prediction of the TED Talk Ratings from the Speech-Transcripts using Neural Networks · Predicting TED Talk Ratings from Language and Prosody.

We use the largest open repository---TED Talks---to predict the ratings provided by the online viewers. The dataset contains over 2200 talk transcripts and the ...

A causality-guided prediction of the ted talk ratings from the speech-transcripts using neural networks. MI Tanveer, MK Hasan, D Gildea, ME Hoque. arXiv ...

A causality-guided prediction of the ted talk ratings from the speech-transcripts using neural networks. arXiv preprint arXiv:1905.08392. Tanveer, M. I. ...