Sentiment Analysis: An Approach to Opinion Mining From Twitter Data Using R

Abstract

Opinion mining also termed as sentiment analysisis basically utillized to implement anautomated algorithm to analyze and classify opinion.If we are interested to get the idea, the extent to which the Indian citizen likes or dislikes money demonetization or for instance consider a product marketer who on his present company market image, would like to decide upon, launching of his new product. A film celebrity who would like to judge his or her present popularity so as to decide on the perfect time to launch his or her new movie, for any of such case an obvious solution would require analysis of opinion from a random sample of people. For such public opinion measurement, various survey tools and techniques are available. With the sudden increase in text based social media, lump of people simulcast their point of view and ideas on a large range of issues. We can study this data available from public to conclude population attitudes to understand the current trends of the market. This study presents a very easy, costand time effective approach that expose the opinions of much larger public (not bounded by any geographical boundaries) which otherwise would have been not possible. The study presents an exhaustive study on the efficiency of R language in opinion mining and how opinion data can be extracted from twitter database. Extorting the opinion of people from social media text provides a rich and interesting context of database to analysis.

Sentimental Analysis using Neural Networks

“…This paper quotes that sentiment analysis is a method used to measure the perceptions of customers computationally and the results of the views are classified into negative and positive [1]. Their work says that opinion mining can also be called as Sentimental Analysis which is basically used to implement the algorithm to classify the opinion [2]. Neeti Sangwan at [3] has did the text analysis and sentimental analysis using CART modeling and Predictive Moddeling.…”

Sentiment Analysis on GST Tweets

“…Thirdparty packages are staggering and continue to grow. R provides a list of a wide collection of tools for data analysis [8]. Sentiment analysis of 5,000 tweets has been done to understand the sentiments of public towards the introduction of Goods and Services Tax.…”

“…Goods and Services Tax (GST) is considered as biggest tax reform since 1947 [6]. It is an indirect tax levied in India from July 1, 2017 [7] through the implementation of One Hundred and First Amendment of the Constitution of India by Indian Government [8].…”

Análisis del comportamiento de diferentes algoritmos de aprendizaje automático para catalogar delitos en la zona metropolitana

“…No obstante, en este caso se realiza para el análisis de sentimientos y también considera la precisión de la clasificación del sentimiento. En [6] se describe un trabajo de estudio sobre la eficiencia del lenguaje R en la minería de opiniones, la similitud de este artículo con la propuesta presentada radica en el uso del lenguaje R así, mismo, como el uso de un corpus extraído de Twitter. No obstante, difiere en la aplicación de algoritmos de aprendizaje automático.…”