Results 21 to 30 of about 77,994 (293)
Online Social Spammer Detection Based on Deep Learning [PDF]
Nongye tushu qingbao xuebao, 2023 [Purpose/Significance] The development of the Internet has led to the rapid development of social networks, providing users with a convenient channel for the release, dissemination and acceptance of information. However, its low-threshold characteristics
ZHANG Jiyang, ZHANG Peng, GONG Siyu, SONG Naipeng
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Bag-of-Words vs. Graph vs. Sequence in Text Classification: Questioning the Necessity of Text-Graphs and the Surprising Strength of a Wide MLP [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Graph neural networks have triggered a resurgence of graph-based text classification methods, defining today’s state of the art. We show that a wide multi-layer perceptron (MLP) using a Bag-of-Words (BoW) outperforms the recent graph-based models TextGCN
Lukas Galke Poech, A. Scherp
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Mathematics, 2023 Since social media platforms are widely used and popular, they have given us more opportunities than we can even imagine. Despite all of the known benefits, some users may abuse these opportunities to humiliate, insult, bully, and harass other people ...
S. Fati +3 more
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Continuous-bag-of-words and Skip-gram for word vector training and text classification
Journal of Physics: Conference Series, 2023 Natural language processing is one of the most challenging parts in the study of artificial intelligence and is widely used in real-life applications. One of the basic questions is how to calculate the probability of a particular text sequence appearing ...
Haowen Xia
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Arab Gulf Journal of Scientific Research, 2023 PurposeTechnology acceptance is a measure of that technology’s usefulness. Oil palm is one of the biggest contributors to Indonesia’s revenues, thus fueling its economy. Using remote sensing would allow a plantation to monitor and forecast its production
S. R. Diana, F. Farida
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Machine Learning Model for Language Classification: Bag-of-words and Multilayer Perceptron
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING, 2023 The availability of data today has become a great asset for research that is used for various purposes such as for machine learning. One of the basic machine learning methods for natural language processing is bag-of-words.
Devi Hawana Lubis +2 more
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Decomposing Bag of Words Histograms [PDF]
2013 IEEE International Conference on Computer Vision, 2013 We aim to decompose a global histogram representation of an image into histograms of its associated objects and regions. This task is formulated as an optimization problem, given a set of linear classifiers, which can effectively discriminate the object categories present in the image.
Gandhi, Ankit +2 more
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International Journal of Network Management, 2023 In terms of cyber security, log files represent a rich source of information regarding the state of a computer service/system. Automating the process of summarizing log file content represents an important aid for decision‐making, especially given the 24/
Ziyu Qiu +6 more
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Lexical Ambiguity in Political Rhetoric: Why Morality Doesn't Fit in a Bag of Words
British Journal of Political Science, 2023 How do politicians use moral appeals in their rhetoric? Previous research suggests that morality plays an important role in elite communication and that the endorsement of specific values varies systematically across the ideological spectrum.
Patrick W. Kraft, Robert Klemmensen
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Bayesian Sentiment Analytics for Emerging Trends in Unstructured Data Streams [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2019 Today the computational study of people’s opinion expressed in free form written text is called the field of sentiment analysis and opinion mining. Various research areas such as Natural Language Processing, Data Mining, Text Mining lie in field of ...
Najam Sahar +2 more
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