Online customer reviews (OCRs) are the real feelings of customers in the process of using
products, which have great reference value for potential customers' purchase decisions …

The introduction of pre-trained large language models (LLMs) has transformed NLP by fine-
tuning task-specific datasets, enabling notable advancements in news classification …

In text classification tasks, such as sentiment analysis (SA), feature representation and
weighting schemes play a crucial role in classification performance. Traditional term …

With the recent growth of the Internet, the volume of data has also increased. In particular,
the increase in the amount of unstructured data makes it difficult to manage data …

Despite a few attempts to automatically crawl Ewe text from online news portals and
magazines, the African Ewe language remains underdeveloped despite its rich morphology …

Purpose: To investigate the impact of the COVID-19 pandemic on the profitability of
Jordanian banks using financial disclosure data. Theoretical framework: The study focuses …

The Bank Nifty Index is the primary subject of this research paper's in-depth analysis and
proposing a sentiment analysis model exclusively for the Indian stock market. The goal is to …

In text classification tasks, such as sentiment analysis (SA), feature representation and
weighting schemes play a crucial role in classification performance. Traditional term …

Convolutional Neural Networks (CNNs) and deep learning are responsible for the quick
advancement of computer vision. A crucial task in computer vision is object localization …

Tämän kandidaatintutkielman aiheena on syväoppimismenetelmien käytettävyys
osakekursseja ennustaessa. Tutkielma toteutetaan kirjallisuuskatsauksena. Aineistossa on …