In this paper, we concentrated on mining public opinion from the hotel reviews domain and proposed a novel framework, Attention-LSTM, to attain the objective of our study.

Nov 1, 2022 · We propose a framework for an attention-based position-aware Bidirectional LSTM (Bi-LSTM) for aspect-based opinion mining by considering the aspect and context interaction.

With this reasoning, we present an efficient subjectivity detection model for improved accuracy in Opinion-mining. The model uses a strategic combination of convolutional neural network …

Oct 11, 2023 · Among these fields, sentiment analysis mining is an important research direction in the field of opinion mining. It aims to reveal the public's sentiment tendency, and attitude …

A novel, efficient, gradient based method called long short-term memory (LSTM) is introduced, which can learn to bridge minimal time lags in excess of 1000 discrete-time steps by enforcing …

In this paper, a detailed study of opinion mining for tourism is been proposed. This would be so beneficial for many industries. The proposed system uses to solve problems in lake distract …

Jan 4, 2024 · We briefly review Hochreiter's (1991) analysis of this problem, then address it by introducing a novel, efficient, gradient-based method called long short-term memory (LSTM).

This paper mainly focuses on mining public opinion from the hotel reviews domain. To do so, we proposed a novel technique called the Attention-Based Long Short Term Memory (Attention …

Nov 1, 2022 · In recent years, sentiment classification has become a hot research field in Natural Language Processing (NLP) and public opinion monitoring. However, there are still some …

Jun 13, 2021 · Consequently, this paper examines the most recent research devoted on public opinion data mining. On the basis of extensive literature review, we outline the latest …