Search or add a thesis

Advanced Search (Beta)
Home > Graph Based Techniques for Community Expert Ranking in Online Discussion Forums

Graph Based Techniques for Community Expert Ranking in Online Discussion Forums

Thesis Info

Access Option

External Link

Author

Faisal, Ch. Muhammad Shahzad

Program

PhD

Institute

International Islamic University

City

Islamabad

Province

Islamabad.

Country

Pakistan

Thesis Completing Year

2016

Thesis Completion Status

Completed

Subject

Applied Sciences

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/8109/1/Ch.Muhammad_Shahzad_Computer_Science_HSR_2017_IIU_12.04.2017.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676726342288

Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

Join our Whatsapp Channel to get regular updates.

Similar


Social web or Web 2.0 has gain popularity since last decade due to its valuable services such as social networking, blogs, online forums, through which users can easily produce and consume information. Online discussion forums are an emerging service of social web, provide an excellent opportunity for knowledge exchange and sharing of ideas. In online forums, collaborations occur when questioning-answering take place among online forum members. Expert finding in online discussion forums, such as BBC, StackOverflow, is a specialized problem of information retrieval. Previously, the expert finding approaches in online forums were based on content and link based features. The link based expert ranking techniques are based on users’ social network authority and can be measured through link analysis techniques such as PageRank and HITS. Content based techniques utilize the answers content to measure user’s reputation or expertise. Posts contents quality can be measured through textual and non-textual features. Textual similarity is measured through standard similarity techniques such as cosine and semantic similarity. Non-textual features include post length, position, references and sentiments etc. Users expertise are measured through their self-reputation scores, however, users performance is not evaluated on the basis of their neighbors’ or co-existing participants’ reputation scores. Moreover, important features such as user’s activity, participation strength, discussion quality and consistent performance have not been utilized for expert finding problem. Thread ranking is another specialized problem of information retrieval in online discussion forums with the aim of finding relevant and quality threads for a given query. Thread ranking problem is addressed through structure and content-similarity features, however features such as semantic similarity, participants’ reputation and thread structure have not been utilized. In this research work, we propose improved expert finding techniques for both rated and non-rated discussion forums such as BBC and StackOverflow. In case of non-rated forums like BBC, we measure the users’ expertise through their co-existing users’ reputation. Users who answer together in multiple threads are termed as Co-existing users. For expert finding in rated-forums like StackOverflow, our techniques consider the element of consistent performance of a user. Reputation features are derived from StackOverflow dataset which are based on voter reputation, vote ratio and tags popularity. We have validated our both expert ranking techniques (for rated and non-rated forums) against a link based expert finding technique and achieved quality results. Lastly, we have addressed the thread ranking problem in BBC forums. Threads quality has been measured through structure, content quality and participant reputation. Experiments on BBC forum dataset show that our thread ranking technique outperforms the baseline technique.
Loading...
Loading...

Similar Books

Loading...

Similar Chapters

Loading...

Similar News

Loading...

Similar Articles

Loading...

Similar Article Headings

Loading...

جد دا یار سیانا ہویا

جد دا یار سیانا ہویا
ساتھوں دور ٹھکانا ہویا

کول وی آکے ملدا نہیں
مٹی کھیہ یارانہ ہویا

کرسی اوہ مخلوق دی خدمت
جِنّے رب نوں پانا ہویا

پہلے تاں ہک پل نہ وسدا
ہن کیوں یار بیگانہ ہویا

رکھ اڈیکاں میں جا ستا
خواباں وچ یرانہ ہویا

مستی وچ کئی سجدے کیتے
جد دا میں فرزانہ ہویا

شمع نے ہک دم ساڑ جلایا
عاشق جد پروانہ ہویا

جس درود و سلام نہ بھیجے
عاشق کیویں یگانہ ہویا

مستی اپنی اینویں لگے
یار دا مکھ مستانہ ہویا

ذکر فکر وچ تیرے رہنا
ایہو ای تانا بانا ہویا

پر امن معاشرے میں تعلیم کا کردار

Education play main role in modern society and main purpose of education is to create a society characterized by holiness and reconciliation so that society is filled with a spirit of sympathy, sadness and good will. In no time has the usefulness of education and its spirituality been devalued. Education is recognized as a symbol of the greatness the living nations and civilized society.  Educated society reflects patience humble, grateful, fear and the most important habit such as determination and become an integral part of life. Even the educated society is considered to be a true pioneer of courage and human values. Education plays a positive role in empowering the weakest society. On the other hand educated people can think of the happiness and the well-being of humanity due to the light knowledge and their sincere efforts when working in this society so of course this will directly benefit those who are weak and ignorant in the society and the key to maximizing humanity. The light of education should also go to homes that are deprived of wealth and helplessness. It also means abiding by the law showing respect to women and helping the weak. Controlling bad temper and language being polite and following proper etiquette in a gathering is also part of good social behavior. In short good social behavior is living decently, peacefully, and with dignity among others without hurting or disturbing them. Good social behavior helps us live amicably in our society. It promotes good will and understanding among people and cultivates a clean, healthy environment for all citizens

Gene Mapping in Families With Complex Neurogenetic Syndromes

Inherited neurological disorders are a broad class of diseases caused by particular genetic factors. Few of them are monogenic in nature, while others are caused by a grouping of genetic risk alleles and environmental factors. The current study was designed to explore the genetic basis of particular neurological disorders in consanguineous families from Pakistan, which includes Congenital Insensitivity to Pain (CIP), Congenital Insensitivity to pain with Anhidrosis (CIPA), and Bilateral Frontoparietal Polymicrogyria (BFPP)/Intellectual Disability (ID). Congenital insensitivity to pain (CIP; MIM 243000) and congenital insensitivity to pain with anhidrosis (CIPA; MIM #256800) come under the category of hereditary sensory and autonomic neuropathies (HSAN).Mutations in SCN9A, SCN11A and PRDM12are responsible for causing CIP, while mutations in NTRK1 are known for causing CIPA. Patients are insensitive to pain, touch and sometimes heat. In some cases patients are unable to smell (anosmia). Other symptoms of the patients affected from this disease include self-harming behavior mainly related to orofacial tissues, bruises on skin, tongue biting, fractured bones and injuries on hands and feet. Additionally, early loss of teeth, many other dental abnormalities and many oral damages observed in patients affected with CIP and CIPA. Patients with CIPA however, show hyperthermia due to anhydrosis in addition to other features. Bilateral Fronto Parietal Polymicrogyria (BFPP; MIM#606854) is a heterogeneous autosomal recessive disorder of abnormal cortical lamination caused by mutations in GPR56 gene. Patients suffering from BFPP show central hypotonia during the early phase of life and symptoms of intellectual disability at later stages. Intellectual disability (ID) is a large and varied group of syndromic and non syndromic disorders. It is a common neurological disease with an inception of cognitive impairment before reaching 18 years of age. There are many genes involved in ID; some of them are AGTR2, AP1S2, ARHGEF6, ATRX, MECP2, PTCHD1 and TSPAN7. Seven autosomal recessive Pakistani families with multiple affected individuals were recruited for the present study (Families A-G). These include four families (A-D) with CIP, one family (E) with CIPA and two families (F and G) with ID and BFPP. In four families (A-D), homozygosity mapping by Illumina Human Core-Exome microarray identified a common ~10Mb homozygous haplotype on chromosome 2q24 in affected individuals. Sanger sequencing of candidate gene SCN9A within this interval revealed a novel biallelic truncating mutation chr2:167099039_167099039delG, NM_002977.3:c.3567_3567delC, which generates a premature stop codon p. Met1190*, in exon 19.This mutation completely segregated with the CIP phenotype in all four families and was absent from 100 control chromosomes. These families belong to the same ethnic group. Mutation Taster (http://www.mutationtaster.org/) showed that there is premature truncation of the protein and nonsense-mediated mRNA decay (NMD). The protein structure for SCN9A was predicted by Protscale server. No signal peptide and acetylation site were present in SCN9A. Diverse specific phosphorylation sites of threonine, serine and tyrosine were anticipated in SCN9A at different positions. Kinases like PKA, PKB, PKC were involved in phosphorylation of SCN9A. This study is helpful to understand the mechanism of pathogenesis of different neurological disorders caused by mutations in SCN9A. In family E, an affected male presented with classical symptoms of CIPA. Trusight One Sequencing Panel usually covers 4813 OMIM genes, discovered a novel NTRK1 truncating mutation c.2025C>G; p. Y681X. The protein modeling of this mutation predicts the damage of the stiffness in NTRK1 tyrosine kinase domain, which resulted in the conformational changes and deleterious consequences in the function of protein. Homozygosity mapping and next generation sequencing identified two novel GPR56 mutations including a substitutional variant, chr16:57693480T>C; NM_005682.5: c.1460T>C; p. Leu487Pro (exon12) and a 13bp insertion Chr16:57689345_57689346insCCATGGAGGTGCT;NM_005682.6:c.803_804insCCATGGAGGTGCT; p.Leu269Hisfs*21, (exon7) in family F and G respectively. These mutations fully segregated with ID phenotype in respective families and were absent from 100 control chromosomes of same population. Timely clinical evaluation is necessary which helps in making the correct choice of genetic testing in families affected with rare neurogenetic syndromes. From these results, it is obvious that combination of techniques including homozygosity mapping and whole exome sequencing / targeted panel sequencing in families with multiple affected individuals is the method of choice for mutation detection. In future, functional studies of mutations in SCN9A, NTRK1 and GPR56 genes may provide novel therapeutic targets