Lexicon-based vs. Bert-based sentiment analysis: A comparative study in Italian

R Catelli, S Pelosi, M Esposito - Electronics, 2022 - mdpi.com
Recent evolutions in the e-commerce market have led to an increasing importance attributed
by consumers to product reviews made by third parties before proceeding to purchase. The …

The entropy of words—Learnability and expressivity across more than 1000 languages

C Bentz, D Alikaniotis, M Cysouw, R Ferrer-i-Cancho - Entropy, 2017 - mdpi.com
The choice associated with words is a fundamental property of natural languages. It lies at
the heart of quantitative linguistics, computational linguistics and language sciences more …

Sentiment classification method based on blending of emoticons and short texts

H Zou, K Xiang - Entropy, 2022 - mdpi.com
With the development of Internet technology, short texts have gradually become the main
medium for people to obtain information and communicate. Short text reduces the threshold …

Few-shot emergency siren detection

M Cantarini, L Gabrielli, S Squartini - Sensors, 2022 - mdpi.com
It is a well-established practice to build a robust system for sound event detection by training
supervised deep learning models on large datasets, but audio data collection and labeling …

Semantic entropy in language comprehension

NJ Venhuizen, MW Crocker, H Brouwer - Entropy, 2019 - mdpi.com
Language is processed on a more or less word-by-word basis, and the processing difficulty
induced by each word is affected by our prior linguistic experience as well as our general …

Synonyms, antonyms and factual knowledge in BERT heads

L Serina, L Putelli, AE Gerevini, I Serina - Future Internet, 2023 - mdpi.com
In recent years, many studies have been devoted to discovering the inner workings of
Transformer-based models, such as BERT, for instance, attempting to identify what …

Frequency, informativity and word length: Insights from typologically diverse corpora

N Levshina - Entropy, 2022 - mdpi.com
Zipf's law of abbreviation, which posits a negative correlation between word frequency and
length, is one of the most famous and robust cross-linguistic generalizations. At the same …

Analyzing and visualizing emotional reactions expressed by emojis in location-based social media

E Hauthal, D Burghardt, A Dunkel - ISPRS International Journal of Geo …, 2019 - mdpi.com
Social media platforms such as Twitter are extensively used for expressing and exchanging
thoughts, opinions, ideas, and feelings, ie, reactions concerning a topic or an event. Factual …

Social Media Topic Classification on Greek Reddit.

C Mastrokostas, N Giarelis… - Information (2078 …, 2024 - search.ebscohost.com
Text classification (TC) is a subtask of natural language processing (NLP) that categorizes
text pieces into predefined classes based on their textual content and thematic aspects. This …

RumorLLM: A Rumor Large Language Model-Based Fake-News-Detection Data-Augmentation Approach

J Lai, X Yang, W Luo, L Zhou, L Li, Y Wang, X Shi - Applied Sciences, 2024 - mdpi.com
With the rapid development of the Internet and social media, false information, rumors, and
misleading content have become pervasive, posing significant threats to public opinion and …