Results 131 to 140 of about 8,969 (257)
Term weighting methods assign appropriate weights to the terms in a document so that more important terms receive higher weights for the text representation.
Fei Song +5 more
core +1 more source
An Investigation of Term Weighting and Feature Selection Methods for Sentiment Analysis
Sentiment analysis automatically classifies the opinions, which are expressed in a document, usually as positive or negative. A review document in general, reflects its authorâs opinion about the objects mentioned in the text.
Tuba Parlar, Selma AyÅe Ãzel
doaj
Pathways and pitfalls: a qualitative study of student experiences in biomedical science education
Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell +8 more
wiley +1 more source
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi +2 more
wiley +1 more source
Statistical Approach for Term Weighting in Very Short Documents for Text Categorization
In this paper, we propose a novel approach for term weighting in very short documents that is used with a Support Vector Machine classifier. We focus on market research and social media documents.
Kasari, Melissa +3 more
core +1 more source
TF–IDF is a classical formula that is widely used for identifying important terms within documents. We show that TF–IDF-like scores arise naturally from the test statistic of a penalized likelihood-ratio test setup capturing word burstiness (also known ...
Zeyad Ahmed +3 more
doaj +1 more source
To achieve energy sustainability, Iran needs renewable energy expansion and improved demand-side energy efficiency. This study forecasts Iran’s residential electricity demand through 2044 and evaluates the combined impact of rooftop photovoltaic (PV ...
Mohammadreza Azimizadeh +3 more
doaj +1 more source
ABSTRACT Introduction Spinal cord infarction (SCI) is a rare but devastating myelopathy, characterized by a high disability rate and an unfavorable prognosis. It has often been underdiagnosed and misdiagnosed as idiopathic transverse myelitis (ITM). This study aimed to describe the clinical features, radiological biomarkers, treatments, and functional ...
Zeqiang Ji +13 more
wiley +1 more source
Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points
ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler +20 more
wiley +1 more source

