Saint Germes Bienvenu Bengono Obiang ; Norbert Tsopze - Extraction of lexico-grammatic features and coupling of CRF (Conditional Random Field) units to the deep neural network for aspect extraction

arima:6438 - Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées, July 28, 2021, Volume 33 - 2020 - Special issue CRI 2019 - https://doi.org/10.46298/arima.6438
Extraction of lexico-grammatic features and coupling of CRF (Conditional Random Field) units to the deep neural network for aspect extraction

Authors: Saint Germes Bienvenu Bengono Obiang ; Norbert Tsopze

The Internet contains a wealth of information in the form of unstructured texts such as customer comments on products, events and more. By extracting and analyzing the opinions expressed in customer comments in detail, it is possible to obtain valuable opportunities and information for customers and companies. The model proposed by Jebbara and Cimiano. for the extraction of aspects, winner of the SemEval2016 competition, suffers from the absence of lexico-grammatic input characteristics and poor performance in the detection of compound aspects. We propose the model based on a recurrent neural network for the task of extracting aspects of an entity for sentiment analysis. The proposed model is an improvement of the Jebbara and Cimiano model. The modification consists in adding a CRF to take into account the dependencies between labels and we have extended the characteristics space by adding grammatical level characteristics and lexical level characteristics. Experiments on the two SemEval2016 data sets tested our approach and showed an improvement in the F-score measurement of about 3.5%.


Volume: Volume 33 - 2020 - Special issue CRI 2019
Published on: July 28, 2021
Submitted on: April 29, 2020
Keywords: Deep learning,Gated Recurrent Unit,Sentiments analysis,ABSA,Analyse des sentiments,ABSA,Apprentissage profond,Unité récurrente à portes,Unité récurrente à portes Sentiments analysis,Deep learning,Gated Recurrent Unit,[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI],[INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]


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