Results 11 to 20 of about 3,165,110 (346)

Performance Study of N-grams in the Analysis of Sentiments

Journal of Nigerian Society of Physical Sciences, 2021
In this work, a study investigation was carried out using n-grams to classify sentiments with different machine learning and deep learning methods. We used this approach, which combines existing techniques, with the problem of predicting sequence tags to
O. E. Ojo, A. Gelbukh, H. Calvo, O. O. Adebanji   +3 more
doaj   +1 more source

Interactive Natural Language Processing [PDF]

arXiv.org, 2023
Interactive Natural Language Processing (iNLP) has emerged as a novel paradigm within the field of NLP, aimed at addressing limitations in existing frameworks while aligning with the ultimate goals of artificial intelligence.
Zekun Wang, Ge Zhang, Kexin Yang, Ning Shi, Wangchunshu Zhou, Shaochun Hao, Guangzheng Xiong, Yizhi Li, Mong Yuan Sim, Xiuying Chen, Qingqing Zhu, Zhenzhu Yang, A. Nik, Qi Liu, Chenghua Lin, Shi Wang, Ruibo Liu, Wenhu Chen, Ke Xu, Dayiheng Liu, Yi-Ting Guo, Jie Fu   +21 more
semanticscholar   +1 more source

Is Reinforcement Learning (Not) for Natural Language Processing?: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization [PDF]

arXiv.org, 2022
We tackle the problem of aligning pre-trained large language models (LMs) with human preferences. If we view text generation as a sequential decision-making problem, reinforcement learning (RL) appears to be a natural conceptual framework. However, using
Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley, Jack Hessel, R. Sifa, C. Bauckhage, Hannaneh Hajishirzi, Yejin Choi   +7 more
semanticscholar   +1 more source

A Scoping Literature Review of Natural Language Processing Application to Safety Occurrence Reports

Safety, 2023
Safety occurrence reports can contain valuable information on how incidents occur, revealing knowledge that can assist safety practitioners. This paper presents and discusses a literature review exploring how Natural Language Processing (NLP) has been ...
John W. Ricketts, David Barry, Weisi Guo, Jonathan Pelham   +3 more
semanticscholar   +1 more source

Integrating Manual and Automatic Annotation for the Creation of Discourse Network Data Sets

Politics and Governance, 2020
This article investigates the integration of machine learning in the political claim annotation workflow with the goal to partially automate the annotation and analysis of large text corpora.
Sebastian Haunss, Jonas Kuhn, Sebastian Padó, Andre Blessing, Nico Blokker, Erenay Dayanik, Gabriella Lapesa   +6 more
doaj   +1 more source

Body like an idol: K-pop fitspiration on Tumblr – an analysis of texts and images

Finnish Journal of eHealth and eWelfare, 2023
Eating disorders are a major health issue in societies today which oftentimes remain untreated. In social media, such as Tumblr, people build communities to exchange information and connect to each other using specific hashtags.
Linda Achilles, Thomas Mandl, Christa Womser-Hacker   +2 more
doaj   +1 more source

Improving the Performance of Low-resourced Speaker Identification with Data Preprocessing

Journal of ICT Research and Applications, 2023
Automatic speaker identification is done to tackle daily security problems. Speech data collection is an essential but very challenging task for under-resourced languages like Burmese.
Win Lai Lai Phyu, Hay Mar Soe Naing, Win Pa Pa   +2 more
doaj   +1 more source

Multidimensional Data Analysis for Enhancing In-Depth Knowledge on the Characteristics of Science and Technology Parks

Applied Sciences, 2023
The role played by science and technology parks (STPs) in technology transfer, industrial innovation, and economic growth is examined in this paper. The accurate monitoring of their evolution and impact is hindered by the lack of uniformity in STP models
Olga Francés, José Abreu-Salas, Javi Fernández, Yoan Gutiérrez, Manuel Palomar   +4 more
doaj   +1 more source

Natural Language Processing in the Legal Domain [PDF]

Social Science Research Network, 2023
In this paper, we summarize the current state of the field of NLP&Law with a specific focus on recent technical and substantive developments. To support our analysis, we construct and analyze a nearly complete corpus of more than six hundred NLP&Law ...
D. Katz, D. Hartung, Lauritz Gerlach, Abhik Jana, M. Bommarito   +4 more
semanticscholar   +1 more source

Multiview Fusion Using Transformer Model for Recommender Systems: Integrating the Utility Matrix and Textual Sources

Applied Sciences, 2023
Recommender systems are challenged with providing accurate recommendations that meet the diverse preferences of users. The main information sources for these systems are the utility matrix and textual sources, such as item descriptions, users’ reviews ...
Thi-Linh Ho, Anh-Cuong Le, Dinh-Hong Vu
doaj   +1 more source