Efficient automated processing of the unstructured documents using artificial intelligence: A systematic literature review and future directions
D Baviskar, S Ahirrao, V Potdar, K Kotecha - IEEE Access, 2021 - ieeexplore.ieee.org
The unstructured data impacts 95% of the organizations and costs them millions of dollars
annually. If managed well, it can significantly improve business productivity. The traditional …
annually. If managed well, it can significantly improve business productivity. The traditional …
A survey of cross-lingual word embedding models
Cross-lingual representations of words enable us to reason about word meaning in
multilingual contexts and are a key facilitator of cross-lingual transfer when developing …
multilingual contexts and are a key facilitator of cross-lingual transfer when developing …
Automatic learning path creation using OER: a systematic literature mapping
A Siren, V Tzerpos - IEEE Transactions on Learning …, 2022 - ieeexplore.ieee.org
Learning paths are curated sequences of resources organized in a way that a learner has all
the prerequisite knowledge needed to achieve their learning goals. In this article, we …
the prerequisite knowledge needed to achieve their learning goals. In this article, we …
API-MalDetect: Automated malware detection framework for windows based on API calls and deep learning techniques
This paper presents API-MalDetect, a new deep learning-based automated framework for
detecting malware attacks in Windows systems. The framework uses an NLP-based encoder …
detecting malware attacks in Windows systems. The framework uses an NLP-based encoder …
[HTML][HTML] Sentiment analysis of consumer reviews using deep learning
Internet and social media platforms such as Twitter, Facebook, and several blogs provide
various types of helpful information worldwide. The increased usage of social media and e …
various types of helpful information worldwide. The increased usage of social media and e …
Sentimental short sentences classification by using CNN deep learning model with fine tuned Word2Vec
Continues growth of social networking web users, people daily shared their ideas and
opinions in the form of texts, images, videos, and speech. Text categorization is still a crucial …
opinions in the form of texts, images, videos, and speech. Text categorization is still a crucial …
A deep learning analysis on question classification task using Word2vec representations
S Yilmaz, S Toklu - Neural Computing and Applications, 2020 - Springer
Question classification is a primary essential study for automatic question answering
implementations. Linguistic features take a significant role to develop an accurate question …
implementations. Linguistic features take a significant role to develop an accurate question …
[HTML][HTML] An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM
Depression has become one of the most widespread mental health disorders across the
globe. Depression is a state of mind which affects how we think, feel, and act. The number of …
globe. Depression is a state of mind which affects how we think, feel, and act. The number of …
A Short Text Classification Method Based on N‐Gram and CNN
H Wang, J He, X Zhang, S Liu - Chinese Journal of Electronics, 2020 - Wiley Online Library
Text classification is a fundamental task in Nature language process (NLP) application. Most
existing research work relied on either explicate or implicit text representation to settle this …
existing research work relied on either explicate or implicit text representation to settle this …
Pseudonymous parents: Comparing parenting roles and identities on the Mommit and Daddit subreddits
Gender equality between mothers and fathers is critical for the social and economic
wellbeing of children, mothers, and families. Over the past 50 years, gender roles have …
wellbeing of children, mothers, and families. Over the past 50 years, gender roles have …