通过分析Twitter上的公开推文来挖掘产品的意见

T. K. Das, D. Acharjya, M. Patra
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引用次数: 67

摘要

在本文中,我们解释了在开发一个系统中所做的详细工作,该系统可用于产品或服务的意见分析。系统通过从推特帖子中提取数据,对其进行预处理,并通过REST调用方法连接到Alchemy API来轻松处理推文。用图形显示结果。我们提出的系统通过API访问公共推文,并为三星Galaxy过滤它们。正在进行分析,将情绪分为积极、消极或中性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Opinion mining about a product by analyzing public tweets in Twitter
In this paper we have explained the detailed work done in developing a system which can be used for the purpose of opinion analysis of a product or a service. The system readily processes the tweets by pulling data from tweeter posts, preprocessing it and connecting to Alchemy API by REST call method. and showing the result graphically. We have given the analysis for the product Samsung Galaxy Our proposed system access the public tweets by API and filters them for Samsung Galaxy. The analysis is being carried out as to classify the sentiment as positive, negative or neutral.
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