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Author Profiling with Doc2vec Neural Network-Based Document Embeddings
Lecture Notes in Computer Science, 2017To determine author demographics of texts in social media such as Twitter, blogs, and reviews, we use doc2vec document embeddings to train a logistic regression classifier. We experimented with age and gender identification on the PAN author profiling 2014–2016 corpora under both single- and cross-genre conditions.
Alexander Gelbukh +2 more
exaly +3 more sources
Engineering doc2vec for automatic classification of product descriptions on O2O applications
Electronic Commerce Research, 2017In this paper, we develop an automatic product classifier that can become a vital part of a natural user interface for an integrated online-to-offline (O2O) service platform. We devise a novel feature extraction technique to represent product descriptions that are expressed in full natural language sentences.
Young Yoon
exaly +2 more sources
Identification of Cybersecurity Specific Content Using the Doc2Vec Language Model
2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), 2019It has become more challenging for the security analysts to identify cyber threat related content on the Internet because of the vast amount of publicly available digital texts. In this research, we proposed building an autonomous system for extracting cyber threat information from publicly available information sources.
Otgonpurev Mendsaikhan +2 more
exaly +2 more sources
Automatic Text-to-sound Generation by Doc2Vec
AHFE International, 2023Nowadays, the market size for games and video viewing services has been expanding. The demand for sound effects to produce content using these services is also rising. However, sound-effect production often requires expensive software or hardware, exceptional equipment use, and ...
Kakeru Iwamoto +3 more
openaire +1 more source
Poem Generation using Transformers and Doc2Vec Embeddings
2020 International Joint Conference on Neural Networks (IJCNN), 2020Poems are sequences of words that express ideas and emotions in an imaginative style, some following strict literary syntax or form. They are artistic expressions, and their generation requires in-depth knowledge and mastery of language. As such, poem generation is considered a very challenging task in Natural Language Processing and has been ...
Marvin C. Santillan +1 more
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Retro-Remote Sensing With Doc2Vec Encoding
2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS), 2020In this work, we attempt to address the issue of developing a sophisticated text encoder for retro-remote sensing application. The encoder converts ancient landscape descriptions into a fixed-size vector that, adequately, represents the available information. This vector is then used as a conditioning data to a Generative adversarial network (GAN) that
M. B. Bejiga, G. Hoxha, F. Melgani
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Who is the Ringleader? Modelling Influence in Discourse using Doc2Vec
2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), 2021This paper proposes a process of modelling interpersonal influence in discourse that leverages spatial relationships inherent in term- and document-embedding, while focusing on identifying group leaders. The proposed method transforms speakers' comments from an embedding space, which is speaker-and time-agnostic, to a normalized influence space.
Priyank Vyas +5 more
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Topic recommendation using Doc2Vec
2018 International Joint Conference on Neural Networks (IJCNN), 2018The ever-increasing number of electronic content stored in digital libraries requires a significant amount of effort in cataloguing and has led to self-deposit solutions where the authors submit and publish their own digital records. Even in self-deposit, going through the abstract and assigning subject terms or keywords is a time consuming and ...
Petros S. Karvelis +3 more
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Sentiment classification for unlabeled dataset using Doc2Vec with JST
Proceedings of the 18th Annual International Conference on Electronic Commerce e-Commerce in Smart connected World - ICEC '16, 2016Supervised learning require sentiment labeled corpus for training. But it is hard to apply automatic sentiment classification system to new domain because labeled dataset construction costs a lot of time. Meanwhile, researches using Doc2vec based document representation beat out other sentiment classification researches.
Sangheon Lee 0004 +2 more
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Optimizing E-commerce Recommendations with Doc2Vec and GRU
2025 9th International Symposium on Innovative Approaches in Smart Technologies (ISAS)Sinan Kececi +2 more
exaly +2 more sources