Words Reflect Man - A Review on Opinion Mining

2021 ◽  
pp. 296-299
Author(s):  
Nidhi N. Solanki ◽  
Dr. Dipti B. Shah
Keyword(s):  
Opinion Mining ◽  
Basic Flow ◽  
Unstructured Data ◽  
Optimal Model ◽  
Great Role ◽  
The Right

Opinion mining plays a great role to understand the customers more whether he is happy or not. Today’s formula of success is the satisfactory customer. Users express their opinion on various social sites. This paper describes a brief overview of techniques, challenges, and the basic flow of the opinion mining process. Less work is done on code mix language. Unstructured data and lack of the right algorithms and packages result in accuracy compromise. The development of an optimal model will help in providing better services to viewers and empowering relationships.

An Opinion Mining Approach for Drug Reviews in Spanish

2021 ◽  
pp. 445-480
Author(s):  
Karina Castro-Pérez ◽  
José Luis Sánchez-Cervantes ◽  
María del Pilar Salas-Zárate ◽  
Maritza Bustos-López ◽  
Lisbeth Rodríguez-Mazahua
Keyword(s):  
Language Processing ◽  
Opinion Mining ◽  
Adverse Drug Events ◽  
Hybrid Approach ◽  
Unstructured Data ◽  
Degenerative Diseases ◽  
Analysis System ◽  
Essential Contribution ◽  
Processing Techniques ◽  
Manual Review

In recent years, the application of opinion mining has increased as a boom and growth of social media and blogs on the web, and these sources generate a large volume of unstructured data; therefore, a manual review is not feasible. For this reason, it has become necessary to apply web scraping and opinion mining techniques, two primary processes that help to obtain and summarize the data. Opinion mining, among its various areas of application, stands out for its essential contribution in the context of healthcare, especially for pharmacovigilance, because it allows finding adverse drug events omitted by the pharmaceutical companies. This chapter proposes a hybrid approach that uses semantics and machine learning for an opinion mining-analysis system by applying natural-language-processing techniques for the detection of drug polarity for chronic-degenerative diseases, available in blogs and specialized websites in the Spanish language.

scholarly journals PEOPLE ANALYTICS: NOVEL APPROACH TO MODERN HUMAN RESOURCE MANAGEMENT PRACTICE

2020 ◽  
Vol 5 (7) ◽  
pp. 78-83
Author(s):  
B.N. Gupta ◽  
Sadique Shaikh
Keyword(s):  
Human Resources ◽  
Management Practice ◽  
Modern Human ◽  
Unstructured Data ◽  
Research Review ◽  
Use Of Data ◽  
Novel Approach ◽  
Additional Challenge ◽  
Advanced Analytics ◽  
The Right

This research review papers shows how HR departments need to optimize the way their organizations use human resources, and to be as efficient as possible themselves. They need to make better and faster decisions, to match people better to requirements, and at the same time to reduce costs. As an HR director, you’re probably aware that you could achieve your aims more effectively through better use of data. For example, when a business need arises, you need to be able to see at a glance whether you have the right person available internally or need to look outside. In the latter case, you then typically face the additional challenge of scanning large volumes of applications or CVs/résumés. Fortunately, with today’s technology, it’s possible to automate much of the work of matching people to requirements. You can also bring together structured and unstructured data to learn more about the potential of your own staff, and take advantage of information available in social networks to find out about potential recruits. With recent advances, all this can be achieved without major investment in technology and related skills. Applying advanced analytics effectively to HR challenges is the aim of our new offer, People Analytics.

scholarly journals Modern biotechnology: search for an optimal model of legal regulation

2021 ◽  
Vol 311 ◽  
pp. 10003
Author(s):  
Denis Matytsin ◽  
Olesya Kazachenok ◽  
Agnessa Inshakova
Keyword(s):  
Public Relations ◽  
National Parks ◽  
Legal Regulation ◽  
State Regulation ◽  
Negative Consequences ◽  
Optimal Model ◽  
Specially Protected Natural Areas ◽  
Protected Natural Areas ◽  
The Right ◽  
World Food Security

This chapter justifies the conclusion that GMO technologies as a form of biotechnology are the greatest technological breakthrough of our time. With the help of GMOs, it is possible to increase the yield, which al-lows not only to solve the problems of world food security, but also to pre-serve untouched lands from human impact (including through the creation of national parks or other types and forms of specially protected natural areas there). The use of GMO technologies reduces the use of pesticides and agrochemicals in agriculture. However, in conditions where the harm from GMO technologies and products not convincingly proven, the search for an optimal model for their use should continue. The authors note that the concept of sustainable development implies a balance of environmental, economic and social interests. Deviation from this balance in any direction entails a number of negative consequences for the entire society, both in terms of problems with the realization of the right to food, as well as in terms of environmental protection. In this situation, it seems appropriate not to ban GMOs absolutely (as in Russia), which means the uselessness of the law of the relevant state as a regulator of public relations. Considering the measures of state regulation of the use of GMO technologies and products, the authors focus on the prospects for the use of certification and labeling of GMO products, which in a number of BRICS and EAEU countries has already had a positive effect.

Ontology-Based Opinion Mining

2019 ◽  
pp. 84-103
Author(s):  
Chitra Jalota ◽  
Rashmi Agrawal
Keyword(s):  
Computer Science ◽  
Opinion Mining ◽  
Unstructured Data ◽  
The Internet ◽  
Formal Representation ◽  
Good Decision ◽  
Fixed Set ◽  
Market Trends ◽  
The Relationship

E-commerce business is very popular as a large amount of data is available on the internet in the form of unstructured data. To find new market trends and insight, it is very important for an organization to track the customers' opinions/reviews on a regular basis. Reviews available on the internet are very scattered and heterogeneous (i.e., structured as well as unstructured form of data). A good decision is always based on the quality of information within a specified period of time. Ontology is an explicit detailed study of concepts. The word ontology is borrowed from philosophy. It can also be defined as systematic maintenance of information about the things which already exist. In computer science, it could be said that it is a formal representation of knowledge with the help of a fixed set of believed concepts and the relationship between those concepts.

scholarly journals An Overview of Tools and Technologies Used for Opinion Mining and Sentiment Analysis

2021 ◽  
pp. 38-41
Author(s):  
Dr. A. Komathi ◽  
P. Nithya
Keyword(s):  
Sentiment Analysis ◽  
Opinion Mining ◽  
Vital Role ◽  
Unstructured Data ◽  
Analysis Tool ◽  
Challenging Problem ◽  
Huge Amount ◽  
Product Sale ◽  
Product Service ◽  
Consumer's Perception

The endeavor of social media has formed many chances for people to publicly voice their beliefs, simply when they are employed to deliver an opinion hit a vital problem. Sentiment analysis is the process to finding the satisfaction information of a consumer’s perception about product, service or brand. Sentiment analysis is also called as opinion mining because it dealt with the huge amount of customer opinion. The analyzing process of customer opinion is playing a vital role in product sale. Sentiment analysis is to extract the features by the notions from others perception about particular product and buying experience. The Sentiment Analysis tool is to function on a series of expressions for a given item based on the quality and features.. To find the opinion rate in the form of unstructured data is been a challenging problem today. Thus, this paper discusses about Sentiment analysis methods and tools which are used to make clear opinion mining.

scholarly journals Membangun Karakter Mulia pada Anak: Pertimbangan Pengenalan Hukum Islam Semenjak Dini

Raheema ◽  
2015 ◽  
Vol 2 (2) ◽  
Author(s):  
Rosdiana Rosdiana
Keyword(s):  
Emotional Intelligence ◽  
Religious Education ◽  
Islamic Law ◽  
Self Awareness ◽  
Great Role ◽  
Cognitive Aspect ◽  
Character Building ◽  
The Right ◽  
Significant Point

This writing elaborates the introduction of Islamic Law towards children as an attempt to build a noble character on them. The noble character or “akhlaq” in Islam is a result of implementing process in sharia (ibadah and muamalah) based on the strong foundation known as “aqidah” in Islam. Furthermore, all of the sharia stipulation grounded on the implementation of akhlaq and noble character. The relevance of the Islamic Law introduction and the character building is able to integrated through religion education taught by parents, school, and society. Moreover, religion education is considerably inadequate if it only concerns on the cognitive aspect, it also needs to learn about the emotional intelligence of the children. Thus, the importance of children understanding on Islamic Law is performed that the children could have a self-awareness towards the globalization, they could differentiate the right and wrong, and be able to make a great decision in their life, family, even society. Besides, the problems of religion education which tends to be more theoretic cannot be effective enough to be a ground of character building. So, Islamic Law for more mature children needs to be introduced through strengthening the right religious education. This writing, psychologically and philosophically, would like to address the significant point of introducing the Islamic Law to children. Therefore, parents and other environments have a great role in giving the examples about the studied materials.

Ranking of Cloud Services Using Opinion Mining and Multi-Attribute Decision Making

2017 ◽  
pp. 379-396 ◽  
Author(s):  
Srimanyu Timmaraju ◽  
Vadlamani Ravi ◽  
G. R. Gangadharan
Keyword(s):  
Decision Making ◽  
Opinion Mining ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Business Organizations ◽  
The World ◽  
Multi Attribute Decision Making ◽  
The Right ◽  
New Applications

Cloud computing has been a major focus of business organizations around the world. Many applications are getting migrated to the cloud and many new applications are being developed to run on the cloud. There are already more than 100 cloud service providers in the market offering various cloud services. As the number of cloud services and providers is increasing in the market, it is very important to select the right provider and service for deploying an application. This paper focuses on recommendation of cloud services by ranking them with the help of opinion mining of users' reviews and multi-attribute decision making models (TOPSIS and FMADM were applied separately) in tandem on both quantitative and qualitative data. Surprisingly, both TOPSIS and FMADM yielded the same rankings for the cloud services.

Detecting similar opinion holders for massive sentiment analysis

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Erdem Alparslan ◽  
Adem Karahoca
Keyword(s):  
Sentiment Analysis ◽  
Real Time ◽  
Data Analytics ◽  
Opinion Mining ◽  
Big Data Analytics ◽  
Unstructured Data ◽  
Map Reduce ◽  
Time Calculation ◽  
Hadoop Clusters ◽  
Accuracy Rates

Sentiment Analysis is the study of acquisition, extraction and interpretation of human opinions, sentiments, attitudes and emotions from both structured and unstructured data sources. Also called opinion mining, the field is becoming crucial for various application areas including market researches, politics, sociology and economics. Therefore, many outstanding research efforts are performed on the fields including both theoretical and practical aspects. This paper aims to develop a supportive framework for sentiment analysis, focusing on the similarity of opinion holders in a massive dataset. We used e-commerce review dataset of Amazon spanning May 1996 – July 2014. The whole review set includes more than 140 million entries. As a preprocessing task each review is structured and expressed on a quadruple form of 4 dimensions: Target entity, opinion holder, sentiment and time. The aim of this study is to find out similar opinion holders for a given customer on a certain product in real time. We have defined a new method spanning all the opinions of an individual. The idea behind this calculation of similarity is rating of the same product with the same sentiment factor by two different opinion holders. The real-time calculation is also performed on Hadoop clusters.  Performance enhancements and accuracy rates are then discussed.Keywords: sentiment analysis, opinion mining, big data analytics, Map-Reduce

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