Results 11 to 20 of about 10,729 (237)
Feature Expansion Word2Vec for Sentiment Analysis of Public Policy in Twitter
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022 Social media users, especially on Twitter, can freely express opinions or other information in the form of tweets about anything, including responding to a public policy.
Alvi Rahmy Royyan, Erwin Budi Setiawan
doaj +2 more sources
Study on Title Encoding Methods for e-Commerce Downstream Tasks
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 In an e-Commerce marketplace there are usually many downstream tasks which have (relatively) less available resources than the few mainstream priority tasks, like recommendation or search.
Cristian Cardellino, Rafael Carrascosa
doaj +1 more source
Scaling Word2Vec on Big Corpus [PDF]
Data Science and Engineering, 2019 Abstract Word embedding has been well accepted as an important feature in the area of natural language processing (NLP). Specifically, the Word2Vec model learns high-quality word embeddings and is widely used in various NLP tasks. The training of Word2Vec is sequential on a CPU due to strong dependencies between word–context pairs.
Bofang Li +5 more
openaire +2 more sources
Large scale text mining for deriving useful insights: A case study focused on microbiome
Frontiers in Physiology, 2022 Text mining has been shown to be an auxiliary but key driver for modeling, data harmonization, and interpretation in bio-medicine. Scientific literature holds a wealth of information and embodies cumulative knowledge and remains the core basis on which ...
Syed Ashif Jardary Al Ahmed +8 more
doaj +1 more source
Information, 2020 The ability to stop malware as soon as they start spreading will always play an important role in defending computer systems. It must be a huge benefit for organizations as well as society if intelligent defense systems could themselves detect and ...
Kien Tran, Hiroshi Sato, Masao Kubo
doaj +1 more source
Information, 2020 Mobile applications (apps) on IOS and Android devices are mostly maintained and updated via Apple Appstore and Google Play, respectively, where the users are allowed to provide reviews regarding their satisfaction towards particular apps.
Xiaozhou Li +3 more
doaj +1 more source
Frontiers in Genetics, 2021 Ion channels are the second largest drug target family. Ion channel dysfunction may lead to a number of diseases such as Alzheimer’s disease, epilepsy, cephalagra, and type II diabetes.
Jie Zheng, Xuan Xiao, Wang-Ren Qiu
doaj +1 more source
Natural Language Engineering, 2016 AbstractMy last column ended with some comments about Kuhn and word2vec. Word2vec has racked up plenty of citations because it satisifies both of Kuhn’s conditions for emerging trends: (1) a few initial (promising, if not convincing) successes that motivate early adopters (students) to do more, as well as (2) leaving plenty of room for early adopters ...
openaire +1 more source
Efficient Parallel Learning of Word2Vec [PDF]
CoRR, 2016 Since its introduction, Word2Vec and its variants are widely used to learn semantics-preserving representations of words or entities in an embedding space, which can be used to produce state-of-art results for various Natural Language Processing tasks.
Vuurens, J.B.P. +2 more
openaire +2 more sources