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Multi language Email Classification Using Transfer learning
Abstract: In recent years Artificial Intelligence has become a core part of many businesses, from manufacturers to service providers, AI can be found helping to improve business processes as well as providing customized experiences and support for the customers. Natural language processing gives computers the ability to understand human language, recent breakthroughs in multilingual models bring us closer to overcome language barriers and achieve various tasks regardless of the language. This brings to companies the opportunity to process data and provide services to customers regardless of their language. In this dissertation, we review the progress of NLP towards multilingual text classification, our results suggest that using a machine translation to augment our corpora is a suitable approach to fine-tune multi-language models like XLM-Roberta, obtaing better results than zero-shot approaches. Our results also suggest that in domain pre-training can help to increase the performance of the classification for both monolingual and multi-language classifiers ; Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
Keyword: Customer Support; Deep Learning; Multi-Language Text Classification; Natural Language Processing; Supervised Machine Learning; Text Classification
URL: http://hdl.handle.net/10362/134446
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2
Contextualised sentiment analysis in the financial domain
Daudert, Tobias. - : NUI Galway, 2021
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3
DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction ...
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4
DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction ...
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5
Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning ...
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6
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach ...
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7
An Investigation into the Contribution of Locally Aggregated Descriptors to Figurative Language Identification ...
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8
Perceived and Intended Sarcasm Detection with Graph Attention Networks ...
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9
Context-Aware Interaction Network for Question Matching ...
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10
SciBERT-based Multitasking Deep Neural Architecture to identify Contribution Statements from Scientific articles ...
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11
Certified Robustness to Programmable Transformations in LSTMs ...
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12
DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning ...
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13
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer ...
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14
Spanish Biomedical Corpus ...
Rivera Zavala, Renzo. - : Mendeley, 2021
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15
Spanish Biomedical Corpus ...
Rivera Zavala, Renzo. - : Mendeley, 2021
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16
Improving Multilingual Models for the Swedish Language : Exploring CrossLingual Transferability and Stereotypical Biases
Katsarou, Styliani. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021
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17
SentNoB: A Dataset for Analysing Sentiment on Noisy Bangla Texts ...
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18
Powering Comparative Classification with Sentiment Analysis via Domain Adaptive Knowledge Transfer ...
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19
Automatic information search for countering covid-19 misinformation through semantic similarity
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20
Exploring the Use of Neural Transformers for Psycholinguistics
Laverghetta, Antonio, Jr.. - : Digital Commons @ University of South Florida, 2021
In: Graduate Theses and Dissertations (2021)
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