Results 51 to 60 of about 42,654 (268)
Twitter Sentiment Analysis Based on Daily Covid-19 Table in Turkey
The coronavirus epidemic, which began to affect the whole world in early 2020, has become the most talked about agenda item by individuals. Individuals announce their feelings and thoughts through various communication channels and receive news from what
Buket Kaya, Abdullah Günay
doaj +1 more source
AbstractWith NLP services now widely available via cloud APIs, tasks like named entity recognition and sentiment analysis are virtually commodities. We look at what's on offer, and make some suggestions for how to get rich.
openaire +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
On Measuring Large Language Models Performance with Inferential Statistics
Measuring the reliability of performance evaluations is particularly important when we evaluate non-deterministic models. This is the case of using large language models (LLMs) in classification tasks, where different runs generate different outputs ...
Jesús M. Fraile-Hernández +1 more
doaj +1 more source
NLP Ghana is an open-source non-profit organization aiming to advance the development and adoption of state-of-the-art NLP techniques and digital language tools to Ghanaian languages and problems. In this paper, we first present the motivation and necessity for the efforts of the organization; by introducing some popular Ghanaian languages while ...
Paul Azunre +26 more
openaire +2 more sources
Rationalization for explainable NLP: a survey
Recent advances in deep learning have improved the performance of many Natural Language Processing (NLP) tasks such as translation, question-answering, and text classification. However, this improvement comes at the expense of model explainability. Black-box models make it difficult to understand the internals of a system and the process it takes to ...
Sai Gurrapu +5 more
openaire +4 more sources
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Autonomous High‐Throughput Characterization of Liquid‐Liquid Phase Behavior
This study introduces an automated dual modality platform, combining asymmetric capacitance deviation and multiangle turbidimetry, for high‐throughput characterization of liquid‐liquid phase behavior across chemically diverse fluid systems. The platform enables miscibility classification, resolution of phase separation kinetics and emulsion stability ...
Tarek Eid +3 more
wiley +1 more source
A Spanish Language Proficiency Dataset for AI Evaluation
Benchmarking Spanish reading comprehension remains challenging due to the scarcity of proficiency-calibrated resources grounded in authentic human assessments. We introduce IC-UNED-RC-ES, a benchmark comprising more than 6000 items derived from Instituto
Anselmo Peñas +6 more
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BOOSTING ESL, SPEAKING AND VOCABULARY SKILLS WITH NLP: PRACTICAL TOOLS FOR THE MODERN CLASSROOM [PDF]
Every learner encounters difficulties expressing their thoughts clearly, particularly those acquiring English as a second language. This study investigates the effect of Natural Language Processing (NLP) anchoring techniques on specific speaking sub ...
Doliana CELAJ, Greta JANI
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