利用深度学习(Keras)对Twitter数据进行实时情感分析

Ramandeep Singh Kathuria, S. Gautam, Arjan Singh, Smarth Khatri, N. Yadav
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引用次数: 9

摘要

社交媒体网站已经成为谈论问题和对世界上发生的几乎任何事情发出声音的平台之一,每天有数百万人使用社交媒体网站,这些网站享有巨大的知名度,并在形成公众意见方面发挥着至关重要的作用。由于这个原因,对任何品牌、政党等来说,掌握人们的普遍情绪,分析它,并在必要时制定策略来塑造舆论,就变得至关重要。这就是情绪分析发挥作用的地方。它需要处理大量的非结构化数据,这些数据可以使用深度学习和分类算法来处理
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Real Time Sentiment Analysis On Twitter Data Using Deep Learning(Keras)
Social media sites have emerged as one of the platforms to talk about issues and raise voice regarding almost anything going on in the world, with millions of people using social media sites every day, these sites enjoy tremendous popularity, and play a vital role in forming the opinion of the public. Due to this reason it becomes vital for any brand, political party, etc. to get a grasp of the prevailing sentiment among people, analyse it and create strategies to shape the opinion if needed. This is where sentiment analysis comes into play. It requires handling of huge amounts of data which is unstructured data which can be handled using deep learning, classifying algorithms
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