Prioritizing cancer hazard assessments for IARC Monographs using an integrated approach of database fusion and text mining

Text Mining is one of the most censorious techniques for analysis of data. It processes the unstructured data which has been found to hold nearly 80% of the world’s data. In the present time a majority of industries and big firms use and store massive amount of data sets. The information gets stored in the data Warehouses, and cloud platforms respectively. The data getting stored shows an exponential growth each time since multiple amount of new data is said to get stored every minute from distinct sources. Due to heavy presence of information stored in the platforms it becomes difficult to gather and extract the most relevant part from the data. Thus, text mining and data mining techniques are applied with algorithms such as CNN and RNN supporting it. The algorithm performs deep analysis of data and presents the most relevant piece of information, removing the less important ones. The relevance of the project comes into existence when it’s seen to be integrated into industries such as software markets, social media analysis and formulating of market reports. Thus, providing an extremely comprehensive information which would enhance scope and application of the data getting stored.

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SVD and Text Mining Integrated Approach to Measure Effects of Disasters on Japanese Economics

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46675-0_3 ◽

2016 ◽

pp. 20-29 ◽

Cited By ~ 2

Author(s):

Yuriko Yano ◽

Yukari Shirota

Keyword(s):

Text Mining ◽

Integrated Approach

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Managing Customers' Satisfaction: Evidence from Mining User Generated Content on the Internet

Business and Management Research ◽

10.5430/bmr.v7n4p1 ◽

2018 ◽

Vol 7 (4) ◽

pp. 1

Author(s):

Sixue Jia

Keyword(s):

Quality Improvement ◽

Text Mining ◽

Integrated Approach ◽

Empirical Modeling ◽

User Generated Content ◽

Online Review ◽

The Internet ◽

Sound Effect ◽

Multilinear Regression ◽

Online Ratings

Establishing the relation between online ratings and reviews provides a potentially inexpensive and effective way for karaoke managers to capture satisfaction and quality improvement information from customers. To this end, this study proposes an integrated approach that leverages text mining and empirical modeling to quantitatively correlate user generated content on the internet. From Dianping.com (a Chinese crowd-sourced online review community), 47,069 pairs of karaoke rating and review were examined, with major topics identified. Subsequently, multilinear regression was employed to screen out the most impactful factors that influence overall, environment, sound effect, and service ratings. Managerially, the idea of triggering the synergistic benefit from customer ratings and reviews is referential for market practitioners both within and beyond the karaoke industry.

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Behind the ratings: Text mining of restaurant customers’ online reviews

International Journal of Market Research ◽

10.1177/1470785317752048 ◽

2018 ◽

Vol 60 (6) ◽

pp. 561-572 ◽

Cited By ~ 9

Author(s):

Susan (Sixue) Jia

Keyword(s):

Quality Improvement ◽

Text Mining ◽

High Frequency ◽

Integrated Approach ◽

Online Reviews ◽

Empirical Modeling ◽

Online Review ◽

Multilinear Regression ◽

Catering Industry ◽

Online Ratings

Establishing the relation between online ratings and reviews provides a potentially inexpensive and effective way for restaurants to capture quality improvement hints from customers. To this end, this study proposes an integrated approach that leverages text mining and empirical modeling to quantitatively correlate ratings with reviews. From Dianping.com (a Chinese crowd-sourced online review community), 49,080 pairs of restaurant rating and review were examined, with high-frequency words, major topics, and subtopics identified. Multilinear regression was employed to screen out the most impactful factors that influence taste, environment, and service ratings. Managerially, the idea of triggering the synergistic benefit from customer ratings and reviews is referential for market practitioners both within and beyond the catering industry.

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