Multi-domain sentiment analysis with mimicked and polarized word embeddings for human–robot interaction

Author:

Atzeni Mattia,Reforgiato Recupero Diego

Funder

NVIDIA

EU’s Marie Curie training network PhilHumans — Personal Health Interfaces Leveraging HUman–MAchine Natural interactionS

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference93 articles.

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2. What is the cube root of 27? Question answering over codeontology;Atzeni,2018

3. Visualizing and understanding neural machine translation;Ding,2017

4. M. Atzeni, M. Atzori, Towards semantic approaches for general-purpose end-user development, in: 2018 Second IEEE International Conference on Robotic Computing (IRC), 2018, pp. 369–376, http://dx.doi.org/10.1109/IRC.2018.00077.

5. Predicting polarities of tweets by composing word embeddings with long short-term memory;Wang,2015

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