Hybrid ensemble learning with feature selection for sentiment classification in social media
This article presents a study on ensemble learning and an empirical evaluation of various
ensemble classifiers and ensemble features for sentiment classification of social media data …
ensemble classifiers and ensemble features for sentiment classification of social media data …
Statistical analysis of machine learning techniques for predicting powdery mildew disease in tomato plants
Powdery mildew is a dangerous disease that reduces the quality and the yield of tomato fruit
rapidly. Its early prediction is a prior requirement for obtaining good quality fruit. Therefore, in …
rapidly. Its early prediction is a prior requirement for obtaining good quality fruit. Therefore, in …
Low-level features based 2D face recognition using machine learning
In modern times, when deep learning-based face recognition is highly in demand, this paper
presents machine learning techniques using the low-level feature extraction. Deep learning …
presents machine learning techniques using the low-level feature extraction. Deep learning …
Deceptive web-review detection strategies: a survey
RS Boparai, R Bhatia - International Journal of Intelligent …, 2022 - inderscienceonline.com
Deceptive reviews on internet platforms are a harsh reality in today's world. Specific
services, businesses, and products are praised or vilified in these reviews. In an online or …
services, businesses, and products are praised or vilified in these reviews. In an online or …
Cyber social media analytics and issues: A pragmatic approach for twitter sentiment analysis
Social media analytics is one of the most important forms of data analytics in current
scenario of cyber world. To leverage the use of social media analytics for branding and …
scenario of cyber world. To leverage the use of social media analytics for branding and …
Detection of threatening user accounts on Twitter social media database
A Kumari, Balkishan - International Journal of Intelligent …, 2019 - inderscienceonline.com
The freedom of social media platforms to post and share daily activities is being misused by
threatening users as they post the suspicious and fake content on social media for personal …
threatening users as they post the suspicious and fake content on social media for personal …
A novel approach for identification and classification of verbs in Dogri language
Morphological analyser, POS data, Stemmer etc. are the basic tools required for any NLP
tasks, which are not available for Dogri language which recently has been declared as an …
tasks, which are not available for Dogri language which recently has been declared as an …
Knowledgeable network-on-chip accelerator for fast and accurate simulations using supervised learning algorithms and multiprocessing
In a multi-processor system-on-chip (MPSoC) environment, networks-on-chip (NoC) is
becoming the de-facto scaling communication technique. One of the most significant …
becoming the de-facto scaling communication technique. One of the most significant …
融合随机游走MFPT 特征的链接预测仿真与实证分析.
伍杰华， 高学勤， 王涛， 张夏衍 - Experimental Technology & …, 2022 - search.ebscohost.com
传统随机游走链接预测算法基于复杂网络局部拓扑路径建立, 没有考虑不同类型网络的生成机制
. 针对该问题, 引入衡量随机游走效率的重要统计指标-平均首到达时间(mean first passing time …
. 针对该问题, 引入衡量随机游走效率的重要统计指标-平均首到达时间(mean first passing time …
Modeling the trajectories of interests and preferences of users in digital social systems
E Shchepina, A Surikov - Procedia Computer Science, 2022 - Elsevier
Social networks contain a lot of information about users, analyzing which one can draw a
conclusion, among other things, about the interests of these users. This paper presents the …
conclusion, among other things, about the interests of these users. This paper presents the …