Problems-Solving Map Extraction with Collective Intelligence Analysis and Language Engineering

Author(s):  
Asanee Kawtrakul ◽  
Chaveevarn Pechsiri ◽  
Sachit Rajbhandari ◽  
Frederic Andres

Valuable knowledge has been distributed in heterogeneous formats on many different Web sites and other sources over the Internet. However, finding the needed information is a complex task since there is a lack of semantic relations and organization between them. This chapter presents a problem-solving map framework for extracting and integrating knowledge from unstructured documents on the Internet by exploiting the semantic links between problems, methods for solving them and the people who could solve them. This challenging area of research needs both complex natural language processing, including deep semantic relation interpretation, and the participation of end-users for annotating the answers scattered on the Web. The framework is evaluated by generating problem solving maps for rice and human diseases.

Author(s):  
Shubham Kumar

Abstract: Adult contents on the internet is very common today but it has become a serious concern now because of many reasons such as the proliferation of free to view adult websites has made it easier for individuals of any age to gain access to explicit content. Children increasingly use mobile devices such as smartphones to access the internet and these adult content can have bad impact on their mind. Excessive exposure to these contents can lead to addiction which can have very adverse effect on their mind and their heath.so i came up with an idea to reduce this activity on internet saving people and childrens in particular. In this paper we will discuss a pipeline of a system developed which consists of three modules. The first one is scanning the heading and subheading of the web page to identify if the page is toxic or not. For this task we have used the SOTA model. The second module finds if the page contains a video and identifies it as adult video or not through video caption. we have used LSTM[1] network for this classification task and the last module is CV module which is the most important part of the project. It is an age detection module which detects the age of the people inside the video. The objective was to block the video if the age of any people doing activity exceeds 18. These modules when passed to the pipeline will forbid internet users to watch any kind of adult content specifically which involves a child. It's important to stop this because this has a very negative impact on our society and it is ruining our culture. Index Terms: Deep Learning, Natural Language Processing, Computer vision, Transformers, LSTM


2019 ◽  
Vol 118 (6) ◽  
pp. 90-93
Author(s):  
L. Terina Grazy ◽  
Dr.G. Parimalarani

E-commerce is a part of Internet Marketing. The arrival of Internet made the world very simple and dynamic in all the areas. Internet is the growing business as a result most of the people are using it in their day to day life. E-commerce is attractive and efficient way for both buyers and sellesr as it reduce cost, time and energy for the buyer. No surprise the insurance sector has become quite active within the internet sphere. Most insurance companies are offering policies to be brought online and also the portals for paying premiums. It actually saves from hassles involved in going to an insurance office and spend hours to get the insurance work done. Insurance has become an important and crucial aspect of life. Online insurance is the best and most cost effective approach of taking the insurance deal. This paper focused on influence of online marketing on the insurance industry in India, usage of internet in India , the internet penetration in India and the online sale of insurance product by the insurance sector.


Author(s):  
Anggit Rahmat Fauzi ◽  
Ansari Ansari

The utilization of e-commerce media in the trading world brings impact to the international community in general and the people of Indonesia in particular. For Indonesian people, This is related to a very important legal problem. The importance of law in the field of e-commerce is mainly in protecting the parties who transact through the Internet. The purpose of this study is to know the legal review of the buying and selling agreements through electronic media as well as to know the legal protections for sellers and buyers if one of the parties commits a default. The research uses a normative juridical method of approach and the discussion is done in a descriptive analysis. The source and type of data used are primary data and secondary data. While the data collection techniques using literature studies, and the data obtained will be analyzed qualitatively. The agreement to buy and sell through electronic media is a new phenomenon that has been implemented in various countries and regulated in the Civil state nor law ITE. Legal protection for the parties in the sale and purchase agreements through electronic media is governed by the consumer protection ACT. Any breach must respond to any loss arising from his or her actions.


Author(s):  
Radha Guha

Background:: In the era of information overload it is very difficult for a human reader to make sense of the vast information available in the internet quickly. Even for a specific domain like college or university website it may be difficult for a user to browse through all the links to get the relevant answers quickly. Objective:: In this scenario, design of a chat-bot which can answer questions related to college information and compare between colleges will be very useful and novel. Methods:: In this paper a novel conversational interface chat-bot application with information retrieval and text summariza-tion skill is designed and implemented. Firstly this chat-bot has a simple dialog skill when it can understand the user query intent, it responds from the stored collection of answers. Secondly for unknown queries, this chat-bot can search the internet and then perform text summarization using advanced techniques of natural language processing (NLP) and text mining (TM). Results:: The advancement of NLP capability of information retrieval and text summarization using machine learning tech-niques of Latent Semantic Analysis(LSI), Latent Dirichlet Allocation (LDA), Word2Vec, Global Vector (GloVe) and Tex-tRank are reviewed and compared in this paper first before implementing them for the chat-bot design. This chat-bot im-proves user experience tremendously by getting answers to specific queries concisely which takes less time than to read the entire document. Students, parents and faculty can get the answers for variety of information like admission criteria, fees, course offerings, notice board, attendance, grades, placements, faculty profile, research papers and patents etc. more effi-ciently. Conclusion:: The purpose of this paper was to follow the advancement in NLP technologies and implement them in a novel application.


2020 ◽  
Author(s):  
Vinod Kumar Verma

BACKGROUND COVID- 19 pandemics has affected the life of every human being in this world dramatically. The daily routine of the human has been changed to an uncertain extent. Some of the people are affected by the COVID-19, and some of the people are in fear of this epidemic. This has completely changed the thorough process of the people, and now, they are looking for solutions of this pandemic at different levels of the human addressable areas. These areas include medicine, vaccination, precautions, psychology, technology-assisted solutions like information technology, etc. There is a need to think in the direction of technology compliant solutions in the era of COVID-19 pandemic. OBJECTIVE The objective of this paper is to discuss the existing views and focus on the recommendations for the enhancement in the current situation from COVID-19. METHODS Based on the literature, perceptions, challenges, and viewpoints, the following opinions are suggested to the research community for the prevention and elimination of global pandemic COVID-19. The research community irrespective of the discipline focus on the following: 1. The comprehensive thought process for the designing of the internet of things (IoT) based solutions for healthcare applications used in the prevention from COVID-19. 2. Strategies for restricting outbreak of COVID-19 with the emerging trends in Ehealthcare applications. Which should be the optimal strategy to deal with a global pandemic? 3. Explorations on the data analysis as derived from the advanced data mining and warehousing associated with IoT. Besides, cloud-based technologies can be incorporated for the global spread of healthcare-related information to serve the community of different countries in the world. 4. The most adaptable method and technology can be deployed for the development of innovative solutions for COVID-19 related people like smart, patient-centric healthcare information systems. 5. Implementation of smart solutions like wearable technology for mask and PPE along with their disposal can be considered to deal with a global epidemic like COVID-19. This will lead to the manufacturing and incorporation of wearable technologies in the healthcare sector by industries. 6. A Pervasive thought process can be standardized for dealing with global pandemic like COVID-19. In addition, research measures should be considered for the security and privacy challenges of IoT services carrying healthcare-related information. These areas and directions are diverse but, in parallel, the need for healthy bonding and correlation between the people like researchers and scientists irrespective of their discipline. The discipline may vary from medical, engineering, computing, finance, and management, etc. In addition, standard protocols and interoperability measures can be worked out for the exchange of information in the global pandemic situations. RESULTS Recommendations Discussed CONCLUSIONS In this paper, the opinions have been discussed in the multi-disciplinary areas of research like COVID-19 challenges, medicines and vaccines, precautionary measures, technology assistance, and the Internet of Things. These opinions and discussion serve as an integrated platform for researchers and scientists to think about future perspectives to deal with healthcare-related COVID-19 pandemic situation. This includes the original, significant, and visionary automation based ideas, innovations, scientific designs, and applications focusing on Inter-disciplinary technology compliant solutions like IoT, vaccinations, manufacturing, preventive measures, etc. for the improvement of efficiency and reliability of existing healthcare systems. For the future, there is dire need to strengthen the technology not only in the one area but also for the interdisciplinary areas to recover from the pandemic situation rapidly and serve the community.


Designs ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 42
Author(s):  
Eric Lazarski ◽  
Mahmood Al-Khassaweneh ◽  
Cynthia Howard

In recent years, disinformation and “fake news” have been spreading throughout the internet at rates never seen before. This has created the need for fact-checking organizations, groups that seek out claims and comment on their veracity, to spawn worldwide to stem the tide of misinformation. However, even with the many human-powered fact-checking organizations that are currently in operation, disinformation continues to run rampant throughout the Web, and the existing organizations are unable to keep up. This paper discusses in detail recent advances in computer science to use natural language processing to automate fact checking. It follows the entire process of automated fact checking using natural language processing, from detecting claims to fact checking to outputting results. In summary, automated fact checking works well in some cases, though generalized fact checking still needs improvement prior to widespread use.


Africa ◽  
2021 ◽  
Vol 91 (3) ◽  
pp. 361-387
Author(s):  
Harri Englund

AbstractBy the early 2010s, a number of Malawian poets in their twenties had begun to substitute the elliptical expression of earlier generations with a language that resonated with popular idioms. As poetry directed at ‘the people’, its medium is spoken word rather than print, performed to live audiences and distributed through CDs, radio programmes and the internet. Crafted predominantly in Chichewa, the poems also address topics of popular interest. The selection of poetry presented here comes from a female and a male poet, who, unbeknown to each other, prepared poems sharply critical of homosexuality and what they regarded as its foreign and local advocacy. The same poets have also gained success for their love poems, which have depicted intimate desires in remarkably compatible ways for both women and men. The poets who performed ‘homophobic’ verse went against popular gender stereotypes in their depictions of romantic love and female and male desires. This introductory essay, as a contribution toAfrica's Local Intellectuals series, discusses the aesthetic challenges that the new poets have launched in the context of Malawi's modern poetry. With regard to gender relations in their love poems, the introduction also considers the poets’ possible countercultural contribution despite their avowed commitment to perform for ‘the people’.


1999 ◽  
Vol 12 (4) ◽  
pp. 368-369
Author(s):  
Bruce C. Carlstedt

Access to the Internet provides us with an incredible amount of information about the rheumatic diseases. There are numerous arthritis organizations, professional associations, educational institutions, research and professional journals and patients with Web sites devoted to the rheumatic diseases. Some are reviewed and listed here.


2004 ◽  
Vol 21 (2) ◽  
pp. 115-126 ◽  
Author(s):  
Monica T. Whitty

AbstractWhile flirting is a relatively underresearched area within psychology, even less is known about how people cyber-flirt. This paper explores how often individuals flirt offline compared to online. Moreover, it attempts to examine how men and women flirt within these different spaces. Five thousand, six hundred and ninety-seven individuals, of which 3554 (62%) were women and 2143 (38%) were men, completed a survey about their flirting behaviour both in face-to-face interactions and in chatrooms. The first hypothesis, which stated that the body would be used to flirt with as frequently online as offline, was partly supported. However, it was found that individuals downplayed the importance of physical attractiveness online. Women flirted by displaying nonverbal signals (offline) or substitutes for nonverbal cues (online), to a greater extent than men. In chatrooms men were more likely than women to initiate contact. It is concluded that cyber-flirting is more than simply a meeting of minds and that future research needs to consider the role of the body in online interactions.


2021 ◽  
Vol 1 (3) ◽  
pp. 58-60
Author(s):  
Katanakal Sarada ◽  
◽  
Dr. K. Nirmalamma ◽  
◽  

Mobile commerce is the buying and selling of goods and Services through wireless handled devices such as smart phones and tablets etc. Ecommerce Users to access M-commerce enables online shopping platforms without needing to use & a desktop computer. For example, purchase and sale of products. Online like banking and paying bills. (Virtual market place apps the Amazon mobile App, Android pay, Samsung pay etc...) The main idea behind M. commerce Is to enable various applications and services available on the internet to portable devices (mobiles, laptops, tables etc.) to overcome the constraints of a desktop computer. M commerce aims Serve all information and material needs of the people in a convenient and easy way.


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