社交网络中语音检测的多通道学习机制分析

2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) Pub Date : 2023-01-27 DOI:10.1109/IITCEE57236.2023.10091086

B. Samatha, Nagarjuna Karyemsetty, D. Kumar, D. K. Rao, G. Mani, Thalakola Syamsundararao

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引用次数: 0

摘要

一种有用的方法是TF - idf (Term Frequency - Inverse Text Frequency)，它通过查看术语的频率来确定它们在特定文档中的重要程度。对于许多不同的项目来说，这是一个很好的起点，因为它是为单词分配权重的一种直接方法。构建搜索引擎、总结文档以及其他相关信息检索和机器学习活动属于这一类。

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Analysis of a Multichannel Learning Mechanism for Speech Detection in Social Networks

A useful approach, TF -IDF (Term Frequency - Inverse Text Frequency) looks at the frequency of terms to figure out how important they are in a particular document. It's an excellent starting point for many different projects since it's a straightforward method for assigning weights to words. Constructing search engines, summarising documents, and other related information retrieval and machine learning activities fall under this category.

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2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)

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