Results 31 to 40 of about 4,133 (219)

Analytical Comparison of Stop Word Recognition Methods in Persian Texts [PDF]

International Journal of Information Science and Management
Stop words are primarily non-significant words used to connect other words in sentence construction. Since these words do not contain specific information about the text, they are typically removed during text processing.
Mohammad Samie, Erta Bahmani, Niloofar Mozafari   +2 more
doaj   +1 more source

Distributed Online Pre-Processing Framework for Big Data Sentiment Analytics [PDF]

Journal of Artificial Intelligence and Data Mining, 2022
Performing sentiment analysis on social networks big data can be helpful for various research and business projects to take useful insights from text-oriented content.
M. Molaei, D. Mohamadpur
doaj   +1 more source

FastText Embedding for Luganda

, 2022
FastText Embedding for Luganda, as part of the PhD thesis of David Ifeoluwa ...
David Ifeoluwa Adelani
core   +1 more source

Question Embeddings Based on Shannon Entropy. Solving intent classification task in goal-oriented dialogue system

Proceedings of the International Conference on Applied Innovations in IT, 2019
Question-answering systems and voice assistants are becoming major part of client service departments of many organizations, helping them to reduce the labor costs of staff. In many such systems, there is always natural language understanding module that
Aleksandr Perevalov, Daniil Kurushin, Rustam Faizrakhmanov, Farida Khabibrakhmanova   +3 more
doaj   +1 more source

Automatic Essay Scoring Using Data Augmentation in Bahasa Indonesia

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2022
Essay is one of the assessments to find out the abilities of students in depth.  UKARA is an automatic essay scoring development that combines NLP and machine learning.
Nur Fadilah, Sigit Priyanta
doaj   +1 more source

Utilizing FastText for Venue Recommendation

CoRR, 2020
Venue recommendation systems model the past interactions (i.e., check-ins) of the users and recommend venues. Traditional recommendation systems employ collaborative filtering, content-based filtering or matrix factorization. Recently, vector space embedding and deep learning algorithms are also used for recommendation. In this work, I propose a method
openaire   +3 more sources

FastText Embedding for Ewe

, 2022
<p>FastText Embedding for Ewe, as part of the PhD thesis of David  Ifeoluwa Adelani</p ...
David Ifeoluwa Adelani
core   +1 more source

CTexT fastText Skipgram String Embeddings

, 2022
The CTexT Afrikaans fastText Skipgram String Embeddings is a 300 dimensional Afrikaans embedding model based on the Skipgram fastText architecture that provides real-valued vector representations for Afrikaans text.
Eiselen, Roald
core   +1 more source

FastText Embedding for Wolof

, 2022
<p>FastText Embedding for Wolof, as part of the PhD thesis of David Ifeoluwa Adelani</p ...
David Ifeoluwa Adelani
core   +1 more source

FastText Embedding for Igbo

, 2022
<p>FastText Embedding for Igbo, as part of the PhD thesis of David  Ifeoluwa Adelani</p ...
David Ifeoluwa Adelani
core   +1 more source