Abstract: With a focus on user reviews from the Google Play Store, this study investigates user perceptions of mobile applications designed for remote monitoring and control of solar energy systems.

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...

VADER uses a human-curated lexicon that maps lexical features to sentiment scores, considering punctuation, capitalization, and modifiers. For topic modeling, posts with <50 tokens were removed, ...

This project provides executable files and scripts for generating sentiment lexicons from GermaNet (a German equivalent of the English WordNet), raw text corpora, and neural word embeddings. To ...

The ECO-SAM utilizes a pre-trained BERT encoder to obtain semantic embedding of input texts and then leverages a self-attention mechanism to model the semantic correlation between emotions.

In today’s world, where gaining valuable, data-driven insights is crucial for business growth and improving services, social media platforms like Facebook, YouTube, Instagram, and Twitter/X have ...

In the Chinese context, translations have served as a useful conduit for providing access to wider literature authored in other languages. A prominent question has been whether translators' linguistic ...