Aspect-Based Sentiment Analysis on Mobile Game Reviews Using Deep Learning

This paper proposes an aspect-based sentiment analysis method on mobile game reviews using deep learning, which can make better use of massive mobile game reviews data to judge users\u27 emotional tendencies for different attributes of the game at a fine-grained level. Specifically, there are three models in our sentiment analysis method. The baseline model includes Bi-LSTM, FCN, and CRF for sentiment collocation extraction, matching, and classification. The iterative model updates the neural network structure and effectively improves the model\u27s recall rate in the experiments. The joint model is based on the information passing mechanism and further improves the comprehensive performance of the model. We crawled more than 100,000 game review items from two well-known Chinese game review websites Bilibili and Taptap and manually annotated 3,000 items to construct the experiment dataset. Several experiments have been carried out to evaluate our methods. The experimental results show that our methods have achieved good results

Paul Auster And August Brill's Solitary Rooms : The Spatiality of Solitude

For Paul Auster, a room is in essence “the substance of solitude itself”, a spatially defined solitude. In this respect, the phenomenon has transcended its physical limitations and assumed existential and philosophical significance. In his writings, a room is first and foremost an architectural space that a solitary writer occupies; besides, it is metaphorized as the mind that is the room—an intellectually constructed space; and lastly, it is a place narrated in his stories where his characters meditate and compose, a space that exists in words. This paper conducts studies on both Auster’s life writings and one of his fictions, Man in the Dark, in the hope of presenting the complexity of the three forms of solitary rooms and their mutual inclusion in intersubjective solitude.For Paul Auster, a room is in essence “the substance of solitude itself”, a spatially defined solitude. In this respect, the phenomenon has transcended its physical limitations and assumed existential and philosophical significance. In his writings, a room is first and foremost an architectural space that a solitary writer occupies. Besides, it is metaphorized as the mind that is the room – an intellectually constructed space; and lastly, it is a place narrated in his stories where his characters meditate and compose, a space that exists in words. This paper studies Auster’s life writings and one of his fictions, Man in the Dark, to present the complexity of the three forms of solitary rooms and their mutual inclusion in intersubjective solitude

Automated scholarly paper review: Technologies and challenges

Peer review is a widely accepted mechanism for research evaluation, playing a pivotal role in scholarly publishing. However, criticisms have long been leveled on this mechanism, mostly because of its inefficiency and subjectivity. Recent years have seen the application of artificial intelligence (AI) in assisting the peer review process. Nonetheless, with the involvement of humans, such limitations remain inevitable. In this review paper, we propose the concept and pipeline of automated scholarly paper review (ASPR) and review the relevant literature and technologies of achieving a full-scale computerized review process. On the basis of the review and discussion, we conclude that there is already corresponding research and implementation at each stage of ASPR. We further look into the challenges in ASPR with the existing technologies. The major difficulties lie in imperfect document parsing and representation, inadequate data, defective human-computer interaction and flawed deep logical reasoning. Moreover, we discuss the possible moral & ethical issues and point out the future directions of ASPR. In the foreseeable future, ASPR and peer review will coexist in a reinforcing manner before ASPR is able to fully undertake the reviewing workload from humans