Results 11 to 20 of about 4,133 (219)
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022 Social media such as Twitter has now become very close to society. Twitter users can express current issues, their opinions, product reviews, and many other things both positive and negative. Twitter is also used by companies to monitor the assessment of
Muhammad Afif Raihan +1 more
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The Accuracy Comparison Between Word2Vec and FastText On Sentiment Analysis of Hotel Reviews
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022 Word embedding vectorization is more efficient than Bag-of-Word in word vector size. Word embedding also overcomes the loss of information related to sentence context, word order, and semantic relationships between words in sentences.
Siti Khomsah +2 more
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Probabilistic FastText for Multi-Sense Word Embeddings [PDF]
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2018 We introduce Probabilistic FastText, a new model for word embeddings that can capture multiple word senses, sub-word structure, and uncertainty information. In particular, we represent each word with a Gaussian mixture density, where the mean of a mixture component is given by the sum of n-grams.
Athiwaratkun, Ben +2 more
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An Optimized Deep ConvNet Sentiment Classification Model with Word Embedding and BiLSTM Technique
Advances in Distributed Computing and Artificial Intelligence Journal, 2023 Sentiment Classification is a key area of natural language processing research that is frequently utilized in several industries. The goal of sentiment analysis is to figure out if a product or service received a negative or positive response.
Roop Ranjan, Daniel A. K.
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, 2021 Python scripts used for fasttext experiments in finding genres of newspaper articles in the eScience project ...
Erik Tjong Kim Sang
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Comparative Analysis of Long Short-Term Memory Architecture for Text Classification
Ilkom Jurnal Ilmiah, 2023 Text classification which is a part of NLP is a grouping of objects in the form of text based on certain characteristics that show similarities between one document and another. One of methods used in text classification is LSTM.
Moh Fajar Abdillah, Kusnawi Kusnawi
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Compressed fastText Embeddings
, 2021 Compressed fastText embeddings. The original embeddings have been obtained from https://fasttext.cc/, compression was done using standard settings via the https://github.com/avidale/compress-fasttext library.
Liebl Bernhard
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FastText Embedding for Bambara
, 2022 FastText Embedding for Bambara, as part of the PhD thesis of David Ifeoluwa ...
David Ifeoluwa Adelani
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Comparative Analysis of Using Word Embedding in Deep Learning for Text Classification
Jurnal Riset Informatika, 2023 A group of theory-driven computing techniques known as natural language processing (NLP) are used to interpret and represent human discourse automatically.
Mukhamad Rizal Ilham, Arif Dwi Laksito
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