1 |
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
|
|
BASE
|
|
Hide details
|
|
3 |
DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach ...
|
|
|
|
BASE
|
|
Show details
|
|
7 |
An Investigation into the Contribution of Locally Aggregated Descriptors to Figurative Language Identification ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Perceived and Intended Sarcasm Detection with Graph Attention Networks ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
SciBERT-based Multitasking Deep Neural Architecture to identify Contribution Statements from Scientific articles ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Certified Robustness to Programmable Transformations in LSTMs ...
|
|
|
|
BASE
|
|
Show details
|
|
12 |
DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning ...
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer ...
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Improving Multilingual Models for the Swedish Language : Exploring CrossLingual Transferability and Stereotypical Biases
|
|
|
|
BASE
|
|
Show details
|
|
17 |
SentNoB: A Dataset for Analysing Sentiment on Noisy Bangla Texts ...
|
|
|
|
BASE
|
|
Show details
|
|
18 |
Powering Comparative Classification with Sentiment Analysis via Domain Adaptive Knowledge Transfer ...
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Automatic information search for countering covid-19 misinformation through semantic similarity
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Exploring the Use of Neural Transformers for Psycholinguistics
|
|
|
|
In: Graduate Theses and Dissertations (2021)
|
|
BASE
|
|
Show details
|
|
|
|