Deep sentiment analysis using CNN-LSTM architecture of English and Roman Urdu text shared in social media
Sentiment analysis (SA) has been an active research subject in the domain of natural
language processing due to its important functions in interpreting people's perspectives and …
language processing due to its important functions in interpreting people's perspectives and …
A review of Urdu sentiment analysis with multilingual perspective: A case of Urdu and roman Urdu language
Research efforts in the field of sentiment analysis have exponentially increased in the last
few years due to its applicability in areas such as online product purchasing, marketing, and …
few years due to its applicability in areas such as online product purchasing, marketing, and …
Cyberbullying detection: advanced preprocessing techniques & deep learning architecture for Roman Urdu data
Social media have become a very viable medium for communication, collaboration,
exchange of information, knowledge, and ideas. However, due to anonymity preservation …
exchange of information, knowledge, and ideas. However, due to anonymity preservation …
Sentiment analysis techniques, challenges, and opportunities: Urdu language-based analytical study
Sentiment analysis in research involves the processing and analysis of sentiments from
textual data. The sentiment analysis for high resource languages such as English and …
textual data. The sentiment analysis for high resource languages such as English and …
Attention-based RU-BiLSTM sentiment analysis model for roman Urdu
Deep neural networks have emerged as a leading approach towards handling many natural
language processing (NLP) tasks. Deep networks initially conquered the problems of …
language processing (NLP) tasks. Deep networks initially conquered the problems of …
Exploiting linguistic features for effective sentence-level sentiment analysis in Urdu language
Rapid increase in the use of social media has led to the generation of gigabytes of
information shared by billions of users worldwide. To analyze this information and determine …
information shared by billions of users worldwide. To analyze this information and determine …
[PDF][PDF] Sentiment analysis of roman Urdu on e-commerce reviews using machine learning
Sentiment analysis task has widely been studied for various languages such as English and
French. However, Roman Urdu sentiment analysis yet requires more attention from peer …
French. However, Roman Urdu sentiment analysis yet requires more attention from peer …
BERT based sentiment analysis for low-resourced languages: A case study of Urdu language
Sentiment analysis holds significant importance in research projects by providing valuable
insights into public opinions. However, the majority of sentiment analysis studies focus on …
insights into public opinions. However, the majority of sentiment analysis studies focus on …
Android malware classification using convolutional neural network and LSTM
S Hosseini, AE Nezhad, H Seilani - Journal of Computer Virology and …, 2021 - Springer
Hand phone devices are the latest technological developments of the 20th century. There is
an increasing number of fishing, sniffing and other kinds of attacks in this field of technology …
an increasing number of fishing, sniffing and other kinds of attacks in this field of technology …
Enml: multi-label ensemble learning for urdu text classification
Exponential growth of electronic data requires advanced multi-label classification
approaches for the development of natural language processing (NLP) applications such as …
approaches for the development of natural language processing (NLP) applications such as …