The Mining Method of Network Micro Blog User Groups Based on the Users’ Labels

2016 ◽  
Vol 31 (4) ◽  
Keyword(s):  
Mining Method ◽  
User Groups

Abstracting lexocigraphical works

2018 ◽  
pp. 23-36
Author(s):  
V. V. Goncharova
Keyword(s):  
Information Processing ◽  
Information Source ◽  
Scientific Research ◽  
Information Value ◽  
International Standards ◽  
Information Compression ◽  
Current Trends ◽  
User Groups ◽  
Secondary Information ◽  
Negative Factors

The increasing interest towards abstracting as a type of analytical and synthetical information processing due to science globalization trend, is emphasized. The professionals who study this primary information compression are bibliographers, linguists, and information specialists. The author argues that modern professors and students all have to and must learn abstracting in accordance with the international standards for scientific, research, reference and instructional works.The author points to the diversity of the national lexicographical studies and, based on the abstracts index obtained as a result of her study, characterizes the current trends in abstracting linguistic dictionaries. The key user groups are defined. Publishers’ abstracts of dictionaries are discussed and represented. The example of dictionary Internet-based abstract analysis is given (50 items). Based on the abstracts texts, main negative factors to impact information value of this secondary information source are revealed, that is: lacking data essential for users, incomplete description of targeted readership, etc.The author introduces a model plan for digital guides of Russian lexicographical works and complements the plan with the systematic aspect analysis. She concludes that abstracting is an intellectually intensive process. It is underexplored as far as lexicographical works are concerned, and offers many possibilities for further studies.

Using the “3Es” Method to Evaluate REDD+ Project in Nepal

2017 ◽  
Vol 1 (1) ◽  
pp. 1-5
Author(s):  
Doma Tshering Sherpa
Keyword(s):  
Forest Degradation ◽  
Benefit Distribution ◽  
Global Carbon Budget ◽  
Efficiency And Effectiveness ◽  
User Groups ◽  
And Performance ◽  
Community Forest User Groups ◽  
Global Carbon ◽  
Fundamental Requirement ◽  
Forest User

This case demonstrates the utility of the 3Es (effectiveness, efficiency, and equity) in examining Reducing Emissions from Deforestation and Forest Degradation (REDD+) project in Nepal. REDD+ offers results-based payments for conserving and managing forests sustainably and enhancing forest carbon stocks. This will benefit communities’ efforts to conserve forest resources and prevent deforestation; conserving integrity of forests in turn benefits the global carbon budget. This case uses the 3Es to examine one case in Nepal of distributing the REDD+ funds among local participants. Of the 3Es, equity is getting attention worldwide but there is still debate on which principle of 3Es should be given priority to achieve overall effectiveness of REDD+. This case finds that equity is a fundamental requirement to achieve the other Es (efficiency and effectiveness) in REDD+ implementation. Further, I find that distributive equity is the most important and understood in three different ways in Nepal: rights, needs, and performance. There is an argument between communities and experts on which equity should be given priority. I recommend that the issue of needs based equity vs. performance-based equity should be solved by formation of guidelines of sharing benefits at two levels. First, the benefit distribution from international sources/markets to community forest user groups should be based on the ownership of carbon and performance of communities participating in REDD+. Second, at community level, communities should decide on the form of benefit distribution according to their needs. The primacy of equity in this case will likely find international echoes in other environmental policies and in other countries.

Similarity Detection Using Latent Semantic Analysis Algorithm

2018 ◽  
Vol 6 (8) ◽  
pp. 102
Author(s):  
Priyanka R. Patil ◽  
Shital A. Patil
Keyword(s):  
Latent Semantic Analysis ◽  
Latent Dirichlet Allocation ◽  
Semantic Analysis ◽  
Mining Method ◽  
Research Papers ◽  
Information Measures ◽  
Automated Software ◽  
Day By Day ◽  
Ways Of Life ◽  
Dirichlet Allocation

Similarity View is an application for visually comparing and exploring multiple models of text and collection of document. Friendbook finds ways of life of clients from client driven sensor information, measures the closeness of ways of life amongst clients, and prescribes companions to clients if their ways of life have high likeness. Roused by demonstrate a clients day by day life as life records, from their ways of life are separated by utilizing the Latent Dirichlet Allocation Algorithm. Manual techniques can't be utilized for checking research papers, as the doled out commentator may have lacking learning in the exploration disciplines. For different subjective views, causing possible misinterpretations. An urgent need for an effective and feasible approach to check the submitted research papers with support of automated software. A method like text mining method come to solve the problem of automatically checking the research papers semantically. The proposed method to finding the proper similarity of text from the collection of documents by using Latent Dirichlet Allocation (LDA) algorithm and Latent Semantic Analysis (LSA) with synonym algorithm which is used to find synonyms of text index wise by using the English wordnet dictionary, another algorithm is LSA without synonym used to find the similarity of text based on index. LSA with synonym rate of accuracy is greater when the synonym are consider for matching.

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