The DOI matches its Crossref record; 17 of the 19 references it cites were found in a registry or an index.
Text Classification by Augmenting Bag of Words (BOW) Representation with Co-occurrence Feature
Open accessAbstract
Text classification is the task of assigning predefined categories to free-text documents based on their content.Traditional approaches used unigram based models for text classification.Unigram based models such as Bag Of Words(BOW) models are not considering co-occurrence of set of words in a document level.This paper proposes a way to find co-occurrence feature from anchor text of wikipedia pages, proposes a way to incorporate co-occurrence feature to BOW model.Finally the method is analyzed to know how it performs in task of text classification.
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“Traditional methods for extracting emotional features use the bag-of-words (BoW) model [58,59].”
From A Survey of Deep Learning-Based Multimodal Emotion Recognition: Speech, Text, and Face (2023) · cites this paper as [58]
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Cites
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Research works printed but not linked: 1
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Text Mining in Big Data Analytics
Hassani, H., Beneki, C. C., Unger, S., Mazinani, M. T., & Yeganegi, M. R. (2020) · Big Data and Cognitive Computing · doi:10.3390/bdcc4010001 · Cited by 362
Zhang, S., Yang, Y., Chen, C., Zhang, X., Leng, Q., & Zhao, X. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.121692 · Cited by 290
A Survey of Deep Learning-Based Multimodal Emotion Recognition: Speech, Text, and Face
Lian, H., Lu, C., Li, S., Zhao, Y., Tang, C., & Zong, Y. (2023) · Entropy · doi:10.3390/e25101440 · Cited by 224
A Review on Word Embedding Techniques for Text Classification
Birunda, S. S., & Devi, R. K. (2021) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-981-15-9651-3_23 · Cited by 224
DETECTION OF HATE SPEECH IN SOCIAL NETWORKS: A SURVEY ON MULTILINGUAL CORPUS
Alhassan, A., & Al-Dossari, H. Z. (2019) · doi:10.5121/csit.2019.90208 · Cited by 188
Metadata
- Authors
- Department of Computer Science and Engineering, G. E. C., George K, S., & Joseph, S.
- Affiliations
- Government Engineering College Thrissur (IN)
- ORCID
- Joseph, Shibily
- Venue
- IOSR Journal of Computer Engineering
- Publisher
- IOSR Journals
- Published
- 2014
- Volume
- 16
- Issue
- 1
- Pages
- 34-38
- ISSN
- 2278-0661 (ISSN-L)
- 2278-8727
- OpenAlex
- W2334175399
- Cited by
- 94
- References
- 19
- Citations by year
- 2026: 1 · 2025: 7 · 2024: 10 · 2023: 14 · 2022: 10 · 2021: 23 · 2020: 12 · 2019: 8 · 2018: 5 · 2017: 3 · 2015: 1
- FWCI
- 1.33
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- IOSR Journal of Computer Engineering (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Text and Document Classification Technologies
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Keywords
- text classification, bag-of-words, co-occurrence features, word co-occurrence, feature augmentation
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