Sneka G, Vidhya CT, Algorithms for Opinion Mining and Sentiment Analysis, An Overview, International Journal of Advanced Research in Computer Science and Software Engineering, 2016, 455-459.Sneka, G. and Vidhya, C.T. Algorithms for Opinion Mining and Sentiment Analysis: An Overview. International...
a발생시키다 它发生[translate] aFreytag Trianglef Freytag Trianglef[translate] a我们尽量少吃快餐 We as far as possible little have the fast-food[translate] ahave been studying effective algorithms for sentiment analysis [8]. Sentiment analysis[translate]...
The crux of the discourse centers on a thorough scrutiny of four data mining algorithms deployed for prognostication and categorization, providing insights into their efficacy within the domain of sentiment analysis. This investigation transcends into pragmatic applications, challenges encountered in ...
Sentiment Analysis can be considered a classification process as illustrated inFig. 1. There are three main classification levels in SA: document-level, sentence-level, and aspect-level SA. Document-level SA aims to classify an opinion document as expressing a positive or negative opinion or sent...
Sentiment analysis has been a very rich topic for research. However, very few works have been conducted involving sentiment analysis of an Arabic text. In this section, we shed light on the relevant literature. In [20], the authors used three machine learning approaches, Naïve Bayes, Support...
Along with simplicity, Naive Bayes classification is known to outperform even highly sophisticated methods for tasks such as text classification, spam detection, and sentiment analysis. Naive Bayes Equation Bayes theorem provides a way of calculating posterior probability P(c|x) from P(c), P(x),...
Analysis and Learning Algorithms), an ICML14 workshop exploring the new frontiers of big data computing for opinion mining through machine-learning techniques and sentiment learning methods. For more information, please visit: http://sentic.net/masala ...
论文地址:ASSESSMENT OF FEATURE SELECTION METRICS FOR SENTIMENT ANALYSES: TURKISH MOVIE REVIEWS 情感分析通常使用电影评论,旅行顾问,商业评级,社交媒体和SMS数据作为实验数据。 这些文本可能包含三种情绪,例如积极,消极和中立。 在本论文中,使用语料库为土耳其电影评论,分类器为支持向量机和朴素贝叶斯,F1分数用于绩......
Sarcasm detection is of great importance for the correct analysis of sentiments. This chapter attempts to give an algorithm for successful detection of hyperbolic sarcasm and general sarcasm in a dataset of sarcastic posts which are collected from pages dedicated for sarcasm on social media sites ...
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