.

a good review paper on opinion mining and sentiment analysis :

http://www.cs.cornell.edu/home/llee/omsa/omsa.pdf

.

hello friend

Greetings.

Wish you Happy Merry Christmas and HAppy New yEar.

I have attached some papers for your reference:

I hope this will help you.

Scopus

EXPORT DATE:23 Dec 2014

Wang, J.-Z., Yan, Z., Yang, L.T., Huang, B.-X.

An approach to rank reviews by fusing and mining opinions based on review pertinence

(2015) Information Fusion, 23, pp. 3-15.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84908403742&partnerID=40&md5=e0227db94acc5716d983be81b34e28c6

DOI: 10.1016/j.inffus.2014.04.002

Li, X., Wang, H., Yan, X.

Accurate recommendation based on opinion mining

(2015) Advances in Intelligent Systems and Computing, 329, pp. 399-408.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84910668559&partnerID=40&md5=6e697c00def85f14f2f516d7c2475c3b

DOI: 10.1007/978-3-319-12286-1_41

Marrese-Taylor, E., Velásquez, J.D., Bravo-Marquez, F.

A novel deterministic approach for aspect-based opinion mining in tourism products reviews

(2014) Expert Systems with Applications, 41 (17), pp. 7764-7775.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84905182007&partnerID=40&md5=1541b76852579fd97eb500f5302f14f3

DOI: 10.1016/j.eswa.2014.05.045

Ali, F., Kim, E.K., Kim, Y.-G.

Type-2 fuzzy ontology-based opinion mining and information extraction: A proposal to automate the hotel reservation system

(2014) Applied Intelligence, 20 p. Article in Press.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84910595648&partnerID=40&md5=1b11af6b09417227fe74f355a1f65d0c

DOI: 10.1007/s10489-014-0609-y

Peñalver-Martinez, I., Garcia-Sanchez, F., Valencia-Garcia, R., Rodríguez-García, M.Á., Moreno, V., Fraga, A., Sánchez-Cervantes, J.L.

Feature-based opinion mining through ontologies

(2014) Expert Systems with Applications, 41 (13), pp. 5995-6008.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84899698807&partnerID=40&md5=46dcc24411d37918db775ab8374d0e02

DOI: 10.1016/j.eswa.2014.03.022

Weichselbraun, A., Gindl, S., Scharl, A.

Enriching semantic knowledge bases for opinion mining in big data applications

(2014) Knowledge-Based Systems, . Article in Press.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84901113330&partnerID=40&md5=bf2c32797f3d9ae79d92e8a371c9d643

DOI: 10.1016/j.knosys.2014.04.039

Wang, J.-z., Yan, Z., Yang, L.T., Huang, B.-x.

An approach to rank reviews by fusing and mining opinions based on review pertinence

(2014) Information Fusion, . Article in Press.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84901101804&partnerID=40&md5=93f7356c700f90499b369ebe8d65cb13

DOI: 10.1016/j.inffus.2014.04.002

Othman, M., Hassan, H., Moawad, R., El-Korany, A.

Opinion mining and sentimental analysis approaches: A survey

(2014) Life Science Journal, 11 (4), pp. 321-326.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84897895886&partnerID=40&md5=c79dbd1cc2376bf3507861443330e422

Anjaria, M., Guddeti, R.M.R.

Influence factor based opinion mining of Twitter data using supervised learning

(2014) 2014 6th International Conference on Communication Systems and Networks, COMSNETS 2014, art. no. 6734907, .

http://www.scopus.com/inward/record.url?eid=2-s2.0-84896803877&partnerID=40&md5=5f37c760a2fe88158c2df1914f9bd4df

DOI: 10.1109/COMSNETS.2014.6734907

Karkare, V.Y., Gupta, S.R.

Product evaluation using mining and rating opinions of product features

(2014) Proceedings - International Conference on Electronic Systems, Signal Processing, and Computing Technologies, ICESC 2014, art. no. 6745408, pp. 382-385.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84896754271&partnerID=40&md5=29f4881786e71457f72ec4be57c25b34

DOI: 10.1109/ICESC.2014.72

Arora, R., Srinivasa, S.

A faceted characterization of the opinion mining landscape

(2014) 2014 6th International Conference on Communication Systems and Networks, COMSNETS 2014, art. no. 6734936, .

http://www.scopus.com/inward/record.url?eid=2-s2.0-84896765541&partnerID=40&md5=d595490974703b96c629e3fdd5b4e1aa

DOI: 10.1109/COMSNETS.2014.6734936

Li, W., Li, P., Wang, H.

An extend SIR opinion dynamic model base on empirical signed network mining

(2014) Applied Mechanics and Materials, 513-517, pp. 2744-2747.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84897696260&partnerID=40&md5=747f600bbd2027192282fd4ca0f5dac9

DOI: 10.4028/www.scientific.net/AMM.513-517.2744

Hai, Z., Chang, K., Kim, J.-J., Yang, C.C.

Identifying Features in Opinion Mining via Intrinsic and Extrinsic Domain Relevance

(2014) IEEE Transactions on Knowledge and Data Engineering, 26 (3), art. no. 6427744, pp. 623-634.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84894426310&partnerID=40&md5=0e1a0063d300e1b6d889679a59af0c67

DOI: 10.1109/TKDE.2013.26

Badera, J., Kocoń, P.

Local community opinions regarding the socio-environmental aspects of lignite surface mining: Experiences from central Poland

(2014) Energy Policy, 66, pp. 507-516.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84892478947&partnerID=40&md5=85d89a32f9b846dedd9d503931ad2389

DOI: 10.1016/j.enpol.2013.11.048

El-Halees, A.M.

Software usability evaluation using opinion mining

(2014) Journal of Software, 9 (2), pp. 343-349.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84894430241&partnerID=40&md5=4e226ada88674b2671813e882dc71dae

DOI: 10.4304/jsw.9.2.343-349

Tuveri, F., Angioni, M.

An opinion mining model for generic domains

(2014) Studies in Computational Intelligence, 515, pp. 51-64.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84891889757&partnerID=40&md5=cc64490cd849fe0d606ddcca049f8e3c

DOI: 10.1007/978-3-642-40621-8-3

Du, Q., Ye, W.C., Guo, F., Wang, J.X.

SRL-DP-NE: An opinion mining method based on web news comments

(2014) Applied Mechanics and Materials, 543-547, pp. 3590-3593.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84898845421&partnerID=40&md5=54556fd5e9444c044a0b1ec890e806ff

DOI: 10.4028/www.scientific.net/AMM.543-547.3590

Chen, M., Zhu, F.-W., Wu, M.-H., Ying, J.

Survey of opinion mining

(2014) Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 48 (8), pp. 1461-1472.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84907522194&partnerID=40&md5=f04ec902ee0b50a725b95a8c4de12340

DOI: 10.3785/j.issn.1008-973X.2014.08.016

García-Pablos, A., Cuadros, M., Gaines, S., Rigau, G.

Unsupervised acquisition of domain aspect terms for aspect based opinion mining

(2014) Procesamiento de Lenguaje Natural, 53, pp. 121-128.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84906874747&partnerID=40&md5=d219fae5230baa2e8091374b837a9225

Nguyen, H.N., Van Le, T., Le, H.S., Pham, T.V.

Domain specific sentiment dictionary for opinion mining of Vietnamese text

(2014) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8875, pp. 136-148.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84911893579&partnerID=40&md5=54e2fced0ac8952b7f37fec883851355

Zhou, X., Yang, J., Zhang, J., Lin, Z.

A BBS opinion leader mining algorithm based on topic model

(2014) Journal of Computational Information Systems, 10 (6), pp. 2571-2578.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84900508576&partnerID=40&md5=d12de1d7e4c8ddaf2c1d8b235355eb45

DOI: 10.12733/jcis9944

Kaur, A., Gupta, V.

N-gram based approach for opinion mining of Punjabi text

(2014) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8875, pp. 81-88.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84911946362&partnerID=40&md5=ba57864e6d59d98b9eebba07fe1f32de

Villena-Román, J., Luna-Cobos, A., González-Cristóbal, J.C.

Opinion mining in social networks using semantic analytics in the city of the future [Análisis semántico de la opinión de los ciudadanos en redes sociales en la ciudad del futuro]

(2014) Procesamiento de Lenguaje Natural, 53, pp. 159-162.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84906854813&partnerID=40&md5=467a92d1b75575e194d083f0b24a275c

Al-Maimani, M., Salim, N., Al-Naamany, A.M.

Opinion mining: Approaches, resources and challenges

(2014) Journal of Theoretical and Applied Information Technology, 63 (2), pp. 343-349.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84901310380&partnerID=40&md5=b0b0c6e2fd506f4b5ab54b86ca5bc01f

Cho, S.W., Cha, M.S., Kim, S.Y., Song, J.C., Sohn, K.-A.

Investigating temporal and spatial trends of brand images using twitter opinion mining

(2014) ICISA 2014 - 2014 5th International Conference on Information Science and Applications, art. no. 6847417, .

http://www.scopus.com/inward/record.url?eid=2-s2.0-84904490821&partnerID=40&md5=31f3dc8e793b565795bcb8b3ec73e7b6

DOI: 10.1109/ICISA.2014.6847417

Sumathi, T., Karthik, S., Marikkannan, M.

Artificial bee colony optimization for feature selection in opinion mining

(2014) Journal of Theoretical and Applied Information Technology, 66 (1), pp. 368-379.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84905915286&partnerID=40&md5=56c77def66cc1397e87ccb0d062fa7dd

Del Pilar Salas-Zárate, M., López-López, E., Valencia-García, R., Aussenac-Gilles, N., Almela, Á., Alor-Hernández, G.

A study on LIWC categories for opinion mining in Spanish reviews

(2014) Journal of Information Science, 40 (6), pp. 749-760.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84916631148&partnerID=40&md5=d85e7fe3b8172d10cf2d5ed52e62d26e

DOI: 10.1177/0165551514547842

Muangon, A., Thammaboosadee, S., Haruechaiyasak, C.

A lexiconizing framework of feature-based opinion mining in tourism industry

(2014) 2014 4th International Conference on Digital Information and Communication Technology and Its Applications, DICTAP 2014, art. no. 6821677, pp. 169-173.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84902590035&partnerID=40&md5=529e38b3fbe5fce1a140d9705902b9d6

DOI: 10.1109/DICTAP.2014.6821677

Lu, R., Liu, B.

Research and analysis on internet public opinion based on web mining

(2014) Energy Education Science and Technology Part A: Energy Science and Research, 32 (4), pp. 2209-2216.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84904363915&partnerID=40&md5=91f231c5439ea1e6e597c10c41754493

Selmi, M., Hage, H., Aïmeur, E.

Opinion mining for predicting peer affective feedback helpfulness

(2014) KMIS 2014 - Proceedings of the International Conference on Knowledge Management and Information Sharing, pp. 419-425.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84909994309&partnerID=40&md5=ae68a92c4b98d15e3801f7d1170dd871

Saraswathi, K., Tamilarasi, A.

Investigation of support vector machine classifier for opinion mining

(2014) Journal of Theoretical and Applied Information Technology, 59 (2), pp. 291-296.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84892711809&partnerID=40&md5=9a0c2a80559ebe5c7dd2c0ebdb4ba646

Akhmedova, S., Semenkin, E., Sergienko, R.

Automatically generated classifiers for opinion mining with different term weighting schemes

(2014) ICINCO 2014 - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, 2, pp. 845-850.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84910059908&partnerID=40&md5=be7b55d1c8d6fde93bf922b750630cee

Azmi, A.M., Alzanin, S.M.

Aara' - A system for mining the polarity of Saudi public opinion through e-newspaper comments

(2014) Journal of Information Science, 40 (3), pp. 398-410.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84902174351&partnerID=40&md5=751d44abe1fa303008e85c647282a64f

DOI: 10.1177/0165551514524675

Gholamian, M.R., Abadi, S.M.S.

Resource evaluation: A novel application of opinion mining for competitive intelligence

(2014) International Journal of Business Information Systems, 16 (3), pp. 339-358.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84904764595&partnerID=40&md5=1f086dc9fff93d843f2689e8c2d2782f

DOI: 10.1504/IJBIS.2014.063774

Singh, P.K., Sachdeva, A., Mahajan, D., Pande, N., Sharma, A.

An approach towards feature specific opinion mining and sentimental analysis across e-commerce websites

(2014) Proceedings of the 5th International Conference on Confluence 2014: The Next Generation Information Technology Summit, art. no. 6949312, pp. 329-335.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84914142544&partnerID=40&md5=41ecafa79704da9975b839b229dbda9c

DOI: 10.1109/CONFLUENCE.2014.6949312

Mumu, T.S., Ezeife, C.I.

Discovering community preference influence network by social network opinion posts mining

(2014) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8646 LNCS, pp. 136-145.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84906861203&partnerID=40&md5=9876fdbc711358e00967ddd69bd7df90

DOI: 10.1007/978-3-319-10160-6_13

Al-Maimani, M., Salim, N., Al-Naamany, A.M.

Semantic and fuzzy aspects of opinion mining

(2014) Journal of Theoretical and Applied Information Technology, 63 (2), pp. 330-342.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84901376003&partnerID=40&md5=9751d8b14db2cd4ab3ff6cb37eb15eb9

Kherwa, P., Sachdeva, A., Mahajan, D., Pande, N., Singh, P.K.

An approach towards comprehensive sentimental data analysis and opinion mining

(2014) Souvenir of the 2014 IEEE International Advance Computing Conference, IACC 2014, art. no. 6779394, pp. 606-612.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84899078585&partnerID=40&md5=a76cfe14b2320e391a2362e9a4f08fb3

DOI: 10.1109/IAdCC.2014.6779394

Shen, H.L., Bao, F.X.

Internet public opinion recognition and tracking based on web mining

(2014) Advanced Materials Research, 989-994, pp. 4909-4912.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84905860831&partnerID=40&md5=ff44041484df9516c3a128f7670250d7

DOI: 10.4028/www.scientific.net/AMR.989-994.4909

Suresh, V., Roohi, S., Eirinaki, M.

Aspect-based opinion mining and recommendation system for restaurant reviews

(2014) RecSys 2014 - Proceedings of the 8th ACM Conference on Recommender Systems, pp. 361-362.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84908875539&partnerID=40&md5=de151088515237d657525eecb5ff9066

DOI: 10.1145/2645710.2645716

Severyn, A., Moschitti, A., Uryupina, O., Plank, B., Filippova, K.

Opinion mining on YouTube

(2014) 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference, 1, pp. 1252-1261.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84906925179&partnerID=40&md5=d2464ae409c90053df9e8d972e1017e1

Alrahabi, M.

Opinion mining from arabic quotations

(2014) MEDES 2014 - 6th International Conference on Management of Emergent Digital EcoSystems, Proceedings, pp. 190-195.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84910009665&partnerID=40&md5=c53455711c0b3cd68d17a6404aceb105

DOI: 10.1145/2668260.2668291

Carpenter, T., Golab, L., Syed, S.J.

Is the grass greener? Mining electric vehicle opinions

(2014) e-Energy 2014 - Proceedings of the 5th ACM International Conference on Future Energy Systems, pp. 241-252.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84907010589&partnerID=40&md5=94ec80978ed99e53496ff877371f103b

DOI: 10.1145/2602044.2602050

Sun, X., Ye, J.-Q., Ren, F.-J.

Multi-strategy based sina microblog data acquisition for opinion mining

(2014) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8589 LNAI, pp. 551-560.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84904656932&partnerID=40&md5=0e1103cc500910bc4f1fe1cc6be832a8

DOI: 10.1007/978-3-319-09339-0-56

Khan, F.H., Bashir, S., Qamar, U.

TOM: Twitter opinion mining framework using hybrid classification scheme

(2014) Decision Support Systems, 57 (1), pp. 245-257.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84892366876&partnerID=40&md5=24a38a0919f007e9d3f5fd05a5034bcc

DOI: 10.1016/j.dss.2013.09.004

Das, T.K., Acharjya, D.P., Patra, M.R.

Opinion mining about a product by analyzing public tweets in Twitter

(2014) 2014 International Conference on Computer Communication and Informatics: Ushering in Technologies of Tomorrow, Today, ICCCI 2014, art. no. 6921727, .

http://www.scopus.com/inward/record.url?eid=2-s2.0-84911369433&partnerID=40&md5=6c552bc8e8c13995ef2f396c3cdd8bf5

DOI: 10.1109/ICCCI.2014.6921727

Singh, V., Dubey, S.K.

Opinion mining and analysis: A literature review

(2014) Proceedings of the 5th International Conference on Confluence 2014: The Next Generation Information Technology Summit, art. no. 6949318, pp. 232-239.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84914120951&partnerID=40&md5=d6bd123fdc05c39e322f30d01bef75d0

DOI: 10.1109/CONFLUENCE.2014.6949318

Huang, H.-H., Yu, C.-H., Chang, T.-W., Lin, C.-K., Chen, H.-H.

Web-based analysis of chinese discourse markers for opinion mining

(2014) Proceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014, 2, pp. 95-115.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84912568586&partnerID=40&md5=ffa2313e7521cac70e2c907acef3bd04

Russu, R.M., Dinsoreanu, M., Vlad, O.L., Potolea, R.

An opinion mining approach for Romanian language

(2014) Proceedings - 2014 IEEE 10th International Conference on Intelligent Computer Communication and Processing, ICCP 2014, art. no. 6936978, pp. 43-46.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84913608896&partnerID=40&md5=5533c19f69171b72aa47ebf09f40965d

DOI: 10.1109/ICCP.2014.6936978

Marcheggiani, D., Täckström, O., Esuli, A., Sebastiani, F.

Hierarchical multi-label conditional random fields for aspect-oriented opinion mining

(2014) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8416 LNCS, pp. 273-285.

http://www.scopus.com/inward/record.url?eid=2-s2.0-84899958907&partnerID=40&md5=7d0441616ded9f142115283937c1ec67

DOI: 10.1007/978-3-319-06028-6_23

.

and for SCM, another nice review article :

ftp://mojca.iems.northwestern.edu/Yue%20Geng/Polar%20Logistics/Polar%20Logistics/literature/sdarticle.pdf

(a bit old, 1997, but a good broad survey anyway)

.

read my article for comprehensive information about supply chain management,

https://www.researchgate.net/publication/265905809_Using_Segment-based_Genetic_Algorithm_with_Local_Search_to_Find_Approximate_Solution_for_Multi-Stage_Supply_Chain_Network_Design_Problem

Article Using Segment-based Genetic Algorithm with Local Search to F...

my research domain now is sentiment analysis.. have few publications..

https://www.researchgate.net/profile/Gt_Vinodhini2

Think about Big data analytic and data mining application in SCM.