通过实时流数据分析智能情感代理

Pratham Sharma, T. Choudhury, A. Sabitha, G. Raj
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引用次数: 0

摘要

旨在让计算机处理数据并在不使用显式编程的情况下变得更有学问的新科学分支被称为机器学习。自然语言处理(NLP)的首要任务是情感分析或意见挖掘。近年来,对情感分析的需求越来越受欢迎。通过本文,我们的目标是解决任何组织的客户关系管理中最重要的部分——评审系统的问题。这个项目的数据流入是通过twitter API提供tweets的实时流。最后,我们将设置一个阶段,为我们未来在情感分析方面的工作提供见解,并在现有的CRM上使用这种智能代理分析,以改善他们现有的反馈结构。这些问题的答案都是通过对关键词的统计分析得出的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Sentimental Agent Analysis through Live Streaming Data
The new branch of science which aims on getting the computers process data and become more learned without the use of explicit programming is termed as Machine Learning. The most premier task of Natural Language processing (NLP) is Sentiment analysis or opinion mining. The need for Sentimental Analysis has gained much popularity over the recent years. Through the paper, we target to deal with the problem of Review System, an utmost important part of any organizational CRM.. Data inflow in this project is through the twitter API supplying live stream of tweets.. Finally we would set a stage to provide insights into our future work on sentiment analysis and using this Smart Agent Analysis on existing CRM in order to improve their existing Feedback structure. Answers to these questions are provided by statistical analysis on keyword.
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