Implementation naïve bayes classification for sentiment analysis on internet movie database
A film review is a subjective opinion of someone who has different feelings about each film.
As a result, film enthusiasts will struggle to assess whether the film meets their requirements …
As a result, film enthusiasts will struggle to assess whether the film meets their requirements …
„mann “is to “donna” as [国王] is to «reine» adapting the analogy task for multilingual and contextual embeddings
How does the word analogy task fit in the modern NLP landscape? Given the rarity of
comparable multilingual benchmarks and the lack of a consensual evaluation protocol for …
comparable multilingual benchmarks and the lack of a consensual evaluation protocol for …
Hat5: Hate language identification using text-to-text transfer transformer
We investigate the performance of a state-of-the-art (SoTA) architecture T5 (available on the
SuperGLUE) and compare it with 3 other previous SoTA architectures across 5 different …
SuperGLUE) and compare it with 3 other previous SoTA architectures across 5 different …
[HTML][HTML] Bipol: A novel multi-axes bias evaluation metric with explainability for NLP
We introduce bipol, a new metric with explainability, for estimating social bias in text data.
Harmful bias is prevalent in many online sources of data that are used for training machine …
Harmful bias is prevalent in many online sources of data that are used for training machine …
Potential idiomatic expression (PIE)-english: Corpus for classes of idioms
TP Adewumi, R Vadoodi, A Tripathy… - arXiv preprint arXiv …, 2021 - arxiv.org
We present a fairly large, Potential Idiomatic Expression (PIE) dataset for Natural Language
Processing (NLP) in English. The challenges with NLP systems with regards to tasks such …
Processing (NLP) in English. The challenges with NLP systems with regards to tasks such …
[HTML][HTML] T5 for Hate Speech, Augmented Data, and Ensemble
We conduct relatively extensive investigations of automatic hate speech (HS) detection
using different State-of-The-Art (SoTA) baselines across 11 subtasks spanning six different …
using different State-of-The-Art (SoTA) baselines across 11 subtasks spanning six different …
A Review of State of the Art Deep Learning Models for Ontology Construction
T Zengeya, JV Fonou-Dombeu - IEEE Access, 2024 - ieeexplore.ieee.org
Researchers are working towards automation of ontology construction to manage the ever-
growing data on the web. Currently, there is a shift from the use of machine learning …
growing data on the web. Currently, there is a shift from the use of machine learning …
An experimental study of sentiment classification using deep-based models with various word embedding techniques
Nowadays, sentiment analysis is concerned with identifying and analysing text sentiment.
Sentiment analysis has been used in many fields because of its applications in various …
Sentiment analysis has been used in many fields because of its applications in various …
Research on Named Entity Recognition Method of Metro On‐Board Equipment Based on Multiheaded Self‐Attention Mechanism and CNN‐BiLSTM‐CRF
J Lin, E Liu - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
Massive and complex unstructured fault text data will be generated during the operation of
subway trains. A named entity recognition model of subway on‐board equipment based on …
subway trains. A named entity recognition model of subway on‐board equipment based on …
Knowledge enhanced graph neural networks
Graph data is omnipresent and has a wide variety of applications, such as in natural
science, social networks, or the semantic web. However, while being rich in information …
science, social networks, or the semantic web. However, while being rich in information …