Application of text classification and clustering of Twitter data for business analytics

AS Halibas, AS Shaffi… - 2018 Majan international …, 2018 - ieeexplore.ieee.org
In the recent years, social networks in business are gaining unprecedented popularity
because of their potential for business growth. Companies can know more about consumers' …

[PDF][PDF] A survey of text mining in social media: Facebook and Twitter perspectives

SA Salloum, M Al-Emran, AA Monem… - Advances in Science …, 2017 - umpir.ump.edu.my
Text mining has become one of the trendy fields that has been incorporated in several
research fields such as computational linguistics, Information Retrieval (IR) and data mining …

Real time sentiment analysis of Twitter posts

V Prakruthi, D Sindhu, SA Kumar - 2018 3rd international …, 2018 - ieeexplore.ieee.org
Sentiment analysis refers to the application for processing natural language, text analysis,
computational linguistics, and biometrics to methodically recognize, extract, quantify, and …

Comparison of machine learning classification method on text-based case in twitter

PA Telnoni, R Budiawan… - … Conference on ICT for …, 2019 - ieeexplore.ieee.org
As Artificial Intelligence (AI) and Machine Learning (ML) gaining momentum on industry and
academic field, a deeper understanding for AI and ML are highly required. One of the most …

Sentiment analysis about E-commerce from tweets using decision tree, K-nearest neighbor, and naïve bayes

A Bayhaqy, S Sfenrianto, K Nainggolan… - 2018 international …, 2018 - ieeexplore.ieee.org
Data mining can be used for data analysis of social media users who visit E-Commerce. This
study uses data mining techniques aimed at comparing the classification in sentiment …

Multi-lingual sentiment analysis of Twitter data by using classification algorithms

AK Soni - 2017 Second International Conference on Electrical …, 2017 - ieeexplore.ieee.org
Big data is a term that defines data set are so large or complex that traditional data
processing applications are inadequate. It is also defined by the 3V's ie Volume, Velocity …

Application of machine learning techniques to sentiment analysis

AP Jain, P Dandannavar - 2016 2nd International Conference …, 2016 - ieeexplore.ieee.org
Today, we live in adata age'. Due to rapid increase in the amount of user-generated data on
social media platforms like Twitter, several opportunities and new open doors have been …

[PDF][PDF] Analysing twitter data with text mining and social network analysis

Y Zhao - … of the 11th Australasian data mining …, 2013 - crpit.scem.westernsydney.edu.au
Twitter, as one of major social media platforms, provides huge volume of information. A
research project was performed recently in the Analytics Research Weeks in the Australian …

Mining multilingual and multiscript Twitter data: unleashing the language and script barrier

B Sarkar, N Sinhababu, M Roy… - … and Data Mining, 2020 - inderscienceonline.com
Micro-blogging sites like Twitter have become an opinion hub where views on diverse topics
are expressed. Interpreting, comprehending and analysing this emotion-rich information can …

[PDF][PDF] Review on text mining algorithms

S Sharma, SK Srivastava - International Journal of Computer Applications, 2016 - Citeseer
Nowadays twitter microblog has become very popular in the conversation practice and in
spreading awareness about various issues among the people. People share their short …