Instances may belong to more than one class at any given time. In a vector, the values are given in binary format, 1 if the sample falls into the category and 0 if it does not. Consequently, several class labels can be applied simultaneously, which is not possible with signal-label ...
To perform this, firstly, we calculate the probability of occurrence (PoO) for each word in either vulgar or non-vulgar class according to Ptaszynski et al.’s (2019) pattern extortion method [54], represented in Equation (4), which is a simplified sigmoid function normalizing the weighted ...
It operates based on the principle of similarity, where instances are classified by the majority class of their K-Nearest Neighbors. The simplicity of KNNs and its intuitive approach make it an attractive choice for classifying text data in linguistic contexts. However, its performance heavily ...
In this paper, we have created two new datasets that serve as a benchmark for the ABSA domain in Bangla texts. We present two datasets named "Cricket" and "Restaurant". The first dataset contains 2900 comments on cricket over 5 aspect categories, and the second dataset contains 2600 ...