Author profiling is a text classification technique, which is used to predict the profiles of unknown text by analyzing their writing styles. Author profiles are the characteristics of the authors like gender, age, nativity language, country and educational background. The existing approaches for Author Profiling suffered from problems like high dimensionality of features and fail to capture th...

Researchers and scientists need rapid access to text documents such as research papers, source code dissertations. Many are available on the Internet more time retrieve exact based keywords. An efficient classification algorithm for retrieving keyword words is required. The traditional performs less because it never considers words’ polysemy relationship between bag-of-words in To solve above p...

This paper demonstrates that a lot of time, cost, and complexities can be saved avoided would otherwise used to label the text data for classification purposes. The AI world realizes importance labelled its use various NLP applications. Here, we have categorized close 6,000 unlabelled samples into five distinct classes. dataset was further multi-class classification. Data labelling task using t...

Label smoothing has a wide range of applications in machine learning field. Nonetheless, label only softs the targets by adding uniform distribution into one-hot vectors, which cannot truthfully reflect underlying relations among categories. However, category is vital importance many fields such as emotion taxonomy and open set recognition. In this work, we propose method to obtain for each (ca...

Abstract Machine learning is a clear indication that technological progress accelerating right now. All jobs must be done instantly and quickly in the digital world, making businessmen more competitive. There also pressing demand for machine education. As far as future policies go, this relevant. Included issue challenge of evaluating substance student’s thesis abstract accuracy, appropriatenes...