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Parts of Speech tagging mechanism to unravel positive and negative patterns in an unstructured text document

机译:语音标记机制的一部分,用于解开非结构化文本文档中的正负模式

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摘要

Now a days, people incline to buy the online products based on the reviews. Reviews can be cumulate through personal interactions or through the social media like blogs, forums, twitter, e-commerce sites etc. The main objective of the proposed work is to find positive and negative patterns from the reviews given by the users. The bag of word approach or the dictionary method on the unstructured text-based review file to determine the positive and negative patterns for the prediction. Tagging the Parts of speech is carried out for the given review dataset and extraction of nouns, verbs etc is done.
机译:如今,人们倾向于根据评论购买在线产品。可以通过个人互动或通过社交媒体(如博客,论坛,推特,电子商务网站等)来累积评论。拟议工作的主要目的是从用户给出的评论中找出正面和负面的模式。基于非结构化文本的审阅文件上的单词方法或词典方法可确定预测的正负模式。对给定的评论数据集进行词性标注,并提取名词,动词等。

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