This research provides the first comprehensive analysis of the performance of pre-trained
language models for Sinhala text classification. We test on a set of different Sinhala text …

Sinhala is the native language of the Sinhalese people who make up the largest ethnic
group of Sri Lanka. The language belongs to the globe-spanning language tree, Indo …

Sinhala is a low-resource language, for which basic language and linguistic tools have not
been properly defined. This affects the development of NLP-based end-user applications for …

Due to the high impact of the fast-evolving fields of machine learning and deep learning,
Natural Language Processing (NLP) tasks have further obtained comprehensive …

Different types of deep learning based sentiment classification techniques have been
introduced for sentiment analysis, and for Natural Language Processing, in general …

In recent past during the era of consumerism with easy accessibility to social networking
world, the consumers usually give comments and opinions on daily usable ingredients …

Sentimental analysis of social networking data is an economically affordable and effective
way to track and evaluate public viewpoints that are critical for decision making in different …

It is known that social media has become a part and parcel in everyone's life. Human
emotions are constantly being expressed in real time on various social networking sites. The …

Nowadays, a large number of text-based sentiments posted by customers about their
reviews on products. They provide their sentiments via their reviews. Sentiment analysis is …

The Facebook network allows its users to record their reactions to text via a typology of
emotions. This network, taken at scale, is therefore a prime data set of annotated sentiment …