Descriptive measures of the dataset. حسب Sylvia Iasulaitis (8301189)

"…Python algorithms were developed to model each primary collection type. …"

Corpora from the articles in order of size. حسب Sylvia Iasulaitis (8301189)

"…Python algorithms were developed to model each primary collection type. …"

Media information. حسب Sylvia Iasulaitis (8301189)

"…Python algorithms were developed to model each primary collection type. …"

Information from interactions. حسب Sylvia Iasulaitis (8301189)

"…Python algorithms were developed to model each primary collection type. …"

Table of the database statistical measures. حسب Sylvia Iasulaitis (8301189)

"…Python algorithms were developed to model each primary collection type. …"

Tweets information. حسب Sylvia Iasulaitis (8301189)

"…Python algorithms were developed to model each primary collection type. …"

Examples of tweets texts (Portuguese). حسب Sylvia Iasulaitis (8301189)

"…Python algorithms were developed to model each primary collection type. …"

Methodological flowchart. حسب Sylvia Iasulaitis (8301189)

"…Python algorithms were developed to model each primary collection type. …"

Number of tweets collected per query and type. حسب Sylvia Iasulaitis (8301189)

"…Python algorithms were developed to model each primary collection type. …"

Examples of tweets texts (English). حسب Sylvia Iasulaitis (8301189)

"…Python algorithms were developed to model each primary collection type. …"

Users information. حسب Sylvia Iasulaitis (8301189)

"…Python algorithms were developed to model each primary collection type. …"

The Improved Hydro-Sediment Numerical Model and Machine Learning Models حسب Yuning Tan (20580932)

"…The hydro-sediment model was implemented in the C# programming language using Visual Studio, while the machine learning models were developed in Python.…"

Illustration of the text transformation process before and after synonym replacement: The process begins with a sample initial text segment (Sample text before synonym replacement’... حسب Enock Niyonkuru (21246879)

الموضوعات:

Schematic of the approach: This schematic illustrates the entire workflow of the project. حسب Enock Niyonkuru (21246879)

الموضوعات:

Text Transformation Pipeline: An example of the multi-stage text transformation pipeline applied to a sample abstract (PMID: 30609739). حسب Enock Niyonkuru (21246879)

الموضوعات:

Comparative analysis of WordNet replacement impact on data distribution. حسب Enock Niyonkuru (21246879)

الموضوعات:

Comparison of window size for embedding with Wordnet synonym replacement (WN) and without (PM). While Table 1 compared the effects of different values of using a window size of 10,... حسب Enock Niyonkuru (21246879)

الموضوعات:

Non-biomedical word replacement algorithm: This algorithm outlines the process for replacing non-biomedical words in a corpus using WordNet. حسب Enock Niyonkuru (21246879)

الموضوعات:

Comparison of mean interconcept distance for embedding with WordNet synonym replacement (WN) and without (PM). The initial number of unique concepts in the total corpus was 3,018,9... حسب Enock Niyonkuru (21246879)

الموضوعات:

Comparative analysis of WN and PM methodologies: Figure (a) displays the bar chart comparing WN and PM across five distinct concept sets (Methods), highlighting the number of conce... حسب Enock Niyonkuru (21246879)

الموضوعات: