Results 51 to 60 of about 28,490,308 (324)

Palavras-chave em Contexto (Usando n-gramas) com Python

open access: yesThe Programming Historian em Português, 2022
Esta lição usa os pares de frequência criados na lição ‘Contar Frequências de Palavras com Python’ e os apresenta em formato HTML.
William J. Turkel, Adam Crymble
doaj   +1 more source

Salmonella lipopolysaccharide‐containing supported lipid bilayers as platforms to study bacteriophage interactions

open access: yesFEBS Letters, EarlyView.
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace   +6 more
wiley   +1 more source

Differentially Private n-gram Extraction

open access: yesCoRR, 2021
We revisit the problem of $n$-gram extraction in the differential privacy setting. In this problem, given a corpus of private text data, the goal is to release as many $n$-grams as possible while preserving user level privacy. Extracting $n$-grams is a fundamental subroutine in many NLP applications such as sentence completion, response generation for ...
Kunho Kim   +3 more
openaire   +3 more sources

Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis

open access: yesFEBS Letters, EarlyView.
Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee   +7 more
wiley   +1 more source

Sentiment Analysis Using Hybrid Feature Selection Techniques

open access: yesUHD Journal of Science and Technology, 2020
Nowadays, people from every part of the world use social media and social networks to express their feelings toward different topics and aspects. One of the trendiest social media is Twitter, which is a microblogging website that provides a platform for ...
Sasan Sarbast Abdulkhaliq   +1 more
doaj   +1 more source

Using word n-grams to identify authors and idiolects: a corpus approach to a forensic linguistic problem

open access: yes, 2017
Forensic authorship attribution is concerned with identifying the writers of anonymous criminal documents. Over the last twenty years, computer scientists have developed a wide range of statistical procedures using a number of different linguistic ...
D. Wright
semanticscholar   +1 more source

Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions

open access: yesFEBS Letters, EarlyView.
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang   +4 more
wiley   +1 more source

Comparing text classification algorithms with n-grams for mediation prediction

open access: yesIJCCS (Indonesian Journal of Computing and Cybernetics Systems)
Tingkat keberhasilan mediasi perkara perdata di pengadilan negeri dari tahun ke tahun sangat rendah dan menyebabkan penumpukan perkara yang harus ditangani dengan persidangan.
Retzi Y. Lewu   +2 more
doaj   +1 more source

A discriminative method for protein remote homology detection and fold recognition combining Top-n-grams and latent semantic analysis

open access: yesBMC Bioinformatics, 2008
Background Protein remote homology detection and fold recognition are central problems in bioinformatics. Currently, discriminative methods based on support vector machine (SVM) are the most effective and accurate methods for solving these problems.
Lin Lei   +4 more
doaj   +1 more source

Charagram: Embedding Words and Sentences via Character n-grams [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2016
We present Charagram embeddings, a simple approach for learning character-based compositional models to embed textual sequences. A word or sentence is represented using a character n-gram count vector, followed by a single nonlinear transformation to ...
J. Wieting   +3 more
semanticscholar   +1 more source

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