題目：基于深度學(xué)習(xí)的自然語言處理在新聞文本分類中的應(yīng)用
摘要：隨著信息交流的發(fā)展，大量的新聞文本出現(xiàn)在我們的日常生活中，如何有效地分析新聞文本，以獲取有價(jià)值的信息，已成為研究的熱點(diǎn)。本文主要研究基于深度學(xué)習(xí)的自然語言處理技術(shù)在新聞文本分類中的應(yīng)用，首先介紹了新聞文本分類的基本概念和研究現(xiàn)狀，然后詳細(xì)介紹了深度學(xué)習(xí)技術(shù)在新聞文本分類中的應(yīng)用，重點(diǎn)介紹了神經(jīng)網(wǎng)絡(luò)模型、卷積神經(jīng)網(wǎng)絡(luò)模型和循環(huán)神經(jīng)網(wǎng)絡(luò)模型在新聞文本分類中的應(yīng)用。最后，總結(jié)了深度學(xué)習(xí)在新聞文本分類中的應(yīng)用，指出了深度學(xué)習(xí)技術(shù)在新聞文本分類中的優(yōu)勢(shì)，并展望了未來的研究方向。
關(guān)鍵詞：新聞文本分類；深度學(xué)習(xí)；神經(jīng)網(wǎng)絡(luò)；卷積神經(jīng)網(wǎng)絡(luò)；循環(huán)神經(jīng)網(wǎng)絡(luò)
Abstract: With the development of information communication, a large number of news texts appear in our daily life. How to effectively analyze news texts to obtain valuable information has become a hot topic of research. This paper mainly studies the application of deep learning natural language processing technology in news text classification. Firstly, the basic concept and research status of news text classification are introduced. Then, the application of deep learning technology in news text classification is introduced in detail, and the application of neural network model, convolutional neural network model and recurrent neural network model in news text classification is focused. Finally, the application of deep learning in news text classification is summarized, the advantages of deep learning technology in news text classification are pointed out, and the future research direction is prospected.
Keywords: News Text Classification; Deep Learning; Neural Network; Convolutional Neural Network; Recurrent Neural Network
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