Predicting the Future with Social Media

Opinion Mining and Sentiment Analysis

Pang, B., & Lee, L. (2008) · now publishers, Inc. eBooks · doi:10.1561/9781601981516 · Cited by 6,957

Opinion mining and sentiment analysis

Pang, B., & Lee, L. (2008) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000011 · Cited by 6,372

Why we twitter

Java, A., Song, X., Finin, T., & Tseng, B. L. (2007) · doi:10.1145/1348549.1348556 · Cited by 2,662

Cheap and fast---but is it good?: evaluating non-expert annotations for natural language tasks

Snow, R., O'Connor, B., Jurafsky, D., & Ng, A. Y. (2008) · Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08 · doi:10.3115/1613715.1613751 · Cited by 1,887

Twitter power: Tweets as electronic word of mouth

Jansen, B. J. J., Zhang, M., Sobel, K., & Chowdury, A. (2009) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21149 · Cited by 1,766

Social networks that matter: Twitter under the microscope

Huberman, B. A., Romero, D. M., & Wu, F. (2008) · First Monday · doi:10.5210/fm.v14i1.2317 · Cited by 965

Large-Scale Sentiment Analysis for News and Blogs

Godbole, N., Srinivasaiah, M., & Skiena, S. (2007) · International Conference on Weblogs and Social Media · Cited by 581

The predictive power of online chatter

Gruhl, D., Guha, R. V., Kumar, R., Novak, J., & Tomkins, A. (2005) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/1081870.1081883 · Cited by 411

The dynamics of viral marketing

Leskovec, J., Adamic, L. A., & Huberman, B. A. (2006) · ACM Conference on Electronic Commerce (EC) · doi:10.1145/1134707.1134732 · Cited by 391

Predicting Movie Sales from Blogger Sentiment

Mishne, G., & Glance, N. (2006) · Cited by 354

Investigating the Effect of eWOM in Movie Box Office Success Through an Aspect-Based Approach

Mohanty, S., Clements, N. T., & Gupta, V. (2017) · International Journal of Business Analytics · doi:10.4018/ijban.2018010101 · Cited by 10

Predicting motion picture box office performance using temporal tweet patterns

Najafi, H., & Miller, D. W. (2018) · International Journal of Intelligent Computing and Cybernetics · doi:10.1108/ijicc-04-2017-0033 · Cited by 10

The Relationship Between Social Media Data and Crime Rates in the United States

Wang, Y., Yu, W., Liu, S., & Young, S. D. (2019) · Social Media + Society · doi:10.1177/2056305119834585 · Cited by 10

Impact of Social Media Use of University Students

Saha, S., & Guha, A. K. (2019) · International journal of statistics and applications · Cited by 10

Crowdsourcing Change: An Analysis of Twitter Discourse on Food Waste and Reduction Strategies

Specht, A. R., & Buck, E. B. (2019) · Journal of Applied Communications · doi:10.4148/1051-0834.2240 · Cited by 10

Stock Market Prediction Using Sentimental Analysis and Machine Learning

Shah, U., Karani, B., Shah, J., & Dhande, M. (2021) · IEEE Global Conference for Advancement in Technology (GCAT) · doi:10.1109/gcat52182.2021.9587898 · Cited by 10

Opening up Corporate Foresight: What Can We Learn from Open and User Innovation?

Korreck, S. (2018) · Journal of Innovation Management · doi:10.24840/2183-0606_006-003_0007 · Cited by 10

Automatic Crowdsourcing-Based Classification of Marketing Messaging on Twitter

Machedon, R., Rand, W., & Joshi, Y. V. (2013) · IEEE International Conference on Social Computing · doi:10.1109/socialcom.2013.155 · Cited by 11

Predictive modeling in turbulent times – What Twitter reveals about the EUR/USD exchange rate

Janetzko, D. (2014) · NETNOMICS Economic Research and Electronic Networking · doi:10.1007/s11066-014-9087-y · Cited by 10

Sentiment Network Analysis of Taleban and RFE/RL Open-Source Content about Afghanistan

Danowski, J. A. (2012) · European Intelligence and Security Informatics Conference · doi:10.1109/eisic.2012.54 · Cited by 10

Veracity of information in twitter data: A case study

Kumar, T., Kammarpally, P. R., & George, K. M. (2016) · International Conference on Big Data and Smart Computing · doi:10.1109/bigcomp.2016.7425811 · Cited by 10

Detecting influenza states based on hybrid model with personal emotional factors from social networks

Sun, X. N., Ye, J., & Ren, F. (2016) · Neurocomputing · doi:10.1016/j.neucom.2016.01.107 · Cited by 10

What social media data should i use in my research?: A comparative analysis of twitter, youtube, reddit, and the new york times comments

Choi, D., Matni, Z., & Shah, C. S. (2016) · Proceedings of the Association for Information Science and Technology · doi:10.1002/pra2.2016.14505301151 · Cited by 10

Persuasive System Design Analysis of Mobile Warning Apps for Citizens.

Kotthaus, C., Ludwig, T. G., & Pipek, V. (2016) · Cited by 10

Semi-supervised learning and social media text analysis towards multi-labeling categorization

Belainine, B., Fonseca, A., Sadat, F., & Lounis, H. (2017) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata.2017.8258136 · Cited by 10

TwitterPaul: Extracting and Aggregating Twitter PredictionsPreprint

UzZaman, N., Blanco, R., & Matthews, M. (2012) · arXiv (Cornell University) · doi:10.48550/arxiv.1211.6496 · Cited by 10

Retweets|but Not Just Retweets: Quantifying and Predicting Inuence on Twitter

Rosenman, E. T. R. (2012) · Cited by 10

Event Outcome Prediction using Sentiment Analysis and Crowd Wisdom in Microblog FeedsPreprint

Iyer, R. R., Zheng, R., Li, Y., & Sycara, K. P. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1912.05066 · Cited by 10

Discussion of “Best Subset, Forward Stepwise or Lasso? Analysis and Recommendations Based on Extensive Comparisons”

Mazumder, R. (2020) · Statistical Science · doi:10.1214/20-sts807 · Cited by 10

Cache Optimization Models and Algorithms

Paschos, G. S., Iosifidis, G., & Caire, G. (2020) · Foundations and Trends® in Communications and Information Theory · doi:10.1561/0100000104 · Cited by 9

The return of non-probability sample: the electoral polls at the time of internet and social media

Franco, G. D. (2024) · Quality & Quantity · doi:10.1007/s11135-024-01835-8 · Cited by 9

A Selective Overview of Quantile Regression for Large-Scale Data

Wang, S., Cao, W., Hu, X., Zhong, H., & Sun, W. (2025) · Mathematics · doi:10.3390/math13050837 · Cited by 9

Opinion convergence versus polarization: examining opinion distributions in online word‐of‐mouth

Huang, J., Boh, W. F., & Goh, K. H. (2019) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24193 · Cited by 9

Demand Prediction in the Automobile Industry Independent of Big Data

Kato, T. (2020) · Annals of Data Science · doi:10.1007/s40745-020-00278-w · Cited by 9

Resampling Approaches to Improve News Importance Prediction

Moniz, N., Torgo, L., & Rodrigues, F. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-12571-8_19 · Cited by 9

Lexical and Machine Learning approaches toward Online Reputation Management

Yang, C., Bhattacharya, S., & Srinivasan, P. (2012) · Cited by 10

Spatiotemporal topic association detection on tweets

Liu, Z., Huang, Y., & Trampier, J. R. (2016) · ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS) · doi:10.1145/2996913.2996933 · Cited by 9

Integrating sentiment and social structure to determine preference alignments: the Irish Marriage Referendum

O’Sullivan, D. J. P., Garduño-Hernández, G., Gleeson, J. P., & Beguerisse-Díaz, M. (2017) · Royal Society Open Science · doi:10.1098/rsos.170154 · Cited by 9

Using Sentiment Analysis of Twitter Data for Determining Popularity of City Locations

Dinkić, N., Džaković, N., Joković, J. J., Stoimenov, L. V., & Đjukić, A. (2017) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-68855-8_15 · Cited by 9

Virtual Reality-Based Human-Data Interaction

Widjojo, E. A., Chinthammit, W., & Engelke, U. (2017) · Big Data Visual and Immersive Analytics · doi:10.1109/bdva.2017.8114627 · Cited by 9

Learning to Predict the Stock Market Dow Jones Index Detecting and Mining Relevant Tweets

Domeniconi, G., Moro, G., Pagliarani, A., & Pasolini, R. (2017) · International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management · doi:10.5220/0006488201650172 · Cited by 9

Real-time traffic event detection using Twitter data

Salas, A., Georgakis, P., Petalas, Y., & Renukappa, S. (2018) · Infrastructure Asset Management · doi:10.1680/jinam.17.00022 · Cited by 9

Machine Learning and Mining for Social Media Analytics

Sowmya, G., Navya, K., & Jyothi, G. D. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-981-13-1580-0_38 · Cited by 9

Understanding Customer Experiences Through Social Media Analysis of Three Giants of Soft Drink Industry

Ali, T. M., Ahmad, I., Rehman, A. U., & Kamal, S. (2018) · International Conference on Behavioral, Economic, and Socio-Cultural Computing · doi:10.1109/besc.2018.8697304 · Cited by 9

Predicting Self‐declared Movie Watching Behavior Using Facebook Data and Information‐Fusion Sensitivity Analysis

Bogaert, M., Ballings, M., Bergmans, R. H., & den Poel, D. V. (2019) · Decision Sciences · doi:10.1111/deci.12406 · Cited by 9

Dangers of Bias in Data-Intensive Information Systems

Park, B., Rao, D. L., & Gudivada, V. N. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-981-15-4851-2_28 · Cited by 9

Transformational Leadership and Employee Creativity in an Information Technology (IT) Enterprises: Moderating Role of Openness to Experience

Ghimire, S., Haron, A. J., & Bhatti, H. S. (2021) · doi:10.37421/2169-026x.2021.10.297 · Cited by 9

Ageism in the Media : Online Representations of Older People

Xu, W. (2021) · Linköping studies in arts and science · doi:10.3384/diss.diva-175019 · Cited by 9

Apenas uma postagem? previsões de vendas diárias de empresas varejistas de beleza e cosmético a partir da influência de mídias sociais

Pessanha, G. R. G., & Soares, E. A. (2021) · ReMark - Revista Brasileira de Marketing · doi:10.5585/remark.v20i4.17914 · Cited by 15

A Comprehensive Review of Investor Sentiment Analysis in Stock Price Forecasting

Ma, H., Ma, J., Wang, H., Li, P., & Du, W. (2021) · IEEE/ACIS International Conference on Computer and Information Science (ICIS) · doi:10.1109/icisfall51598.2021.9627470 · Cited by 9

Twitter-aided decision making: a review of recent developments

Zhang, Y., Shirakawa, M., Wang, Y., Li, Z., & Hara, T. (2022) · Applied Intelligence · doi:10.1007/s10489-022-03241-9 · Cited by 13

Feature Engineering and Selection

Watt, J. M., Borhani, R., & Katsaggelos, A. K. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108690935.013 · Cited by 10

BMSP-ML: big mart sales prediction using different machine learning techniques

Ali, R. F., Muneer, A., Almaghthawi, A., Alghamdi, A., Fati, S. M., & Ghaleb, E. A. A. (2022) · IAES International Journal of Artificial Intelligence · doi:10.11591/ijai.v12.i2.pp874-883 · Cited by 9

Discovering associations between news and contents in social network sites with the D-Miner service framework

Li, H. L., & Ng, V. (2013) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2013.04.013 · Cited by 9

Potential Power and Problems in Sentiment Mining of Social Media

Wang, J., Gu, Q., & Wang, G. (2013) · International Journal of Strategic Decision Sciences · doi:10.4018/jsds.2013040102 · Cited by 9

STRESS DETECTION AND SENTIMENT PREDICTION: A SURVEY

Garje, G. V., Inamdar, A., Mahajan, H. P., Bhansali, A., & Khan, S. A. (2016) · Cited by 9

Marketing analysis of social media – definition considerations

Mróz-Gorgoń, B., & Peszko, K. (2016) · European Journal of Service Management · doi:10.18276/ejsm.2016.20-04 · Cited by 9

Cyber-Physical Social Networks

von der Weth, C., Abdul, A., & Kankanhalli, M. (2017) · ACM Transactions on Internet Technology · doi:10.1145/2996186 · Cited by 9

Investigation of Future Reference Expressions in Trend Information.

Nakajima, Y., Ptaszynski, M. E., Honma, H., & Masui, F. (2014) · National Conference on Artificial Intelligence · Cited by 9

Let Them Tweet Cake: Estimating Public Dissent Using Twitter

Spangler, E., & Smith, B. O. (2019) · Defence and Peace Economics · doi:10.1080/10242694.2020.1865042 · Cited by 8

Analysing Political Biases in Danish Newspapers Using Sentiment Analysis

Enevoldsen, K., & Hansen, L. (2017) · Journal of Language Works - Sprogvidenskabeligt Studentertidsskrift · Cited by 9

Twitter and stock returns

Forbergskog, J.-O., & Blom, C. R. (2014) · NORA - Norwegian Open Research Archives · Cited by 9

Data Analytics Skills and the Corporate Value of Social MediaPreprint

Hitt, L. M., Jin, F., & Wu, L. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2826115 · Cited by 9

Sentiment Analysis of Microblogging Data

Basile, P., Basile, V., Nissim, M., Novielli, N., & Patti, V. (2017) · Springer eBooks · doi:10.1007/978-1-4614-7163-9_110168-1 · Cited by 9

Judgmental adjustment of demand forecasting models using social media data and sentiment analysis within industry 5.0 ecosystems

Badulescu, Y., Cañas, F., & Cheikhrouhou, N. (2024) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2024.100272 · Cited by 8

INDIVIDUAL VALUES FOR PROTECTING IDENTITY IN SOCIAL NETWORKS

Dhillon, G. S., & Chowdhuri, R. (2013) · Cited by 8

Density-based adaptive spatial clustering algorithm for identifying local high-density areas in georeferenced documents

Sakai, T., Tamura, K., & Kitakami, H. (2014) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc.2014.6973959 · Cited by 8

Proposed algorithms for effective real time stream analysis in big data

Agnihotri, N., & Sharma, A. (2015) · International Conference on Image Information Processing (ICIIP) · doi:10.1109/iciip.2015.7414793 · Cited by 8

Information Diffusion in Social Networks: Friendship Paradox Based Models and Statistical Inference

Krishnamurthy, V., & Nettasinghe, B. (2019) · The IMA volumes in mathematics and its applications · doi:10.1007/978-3-030-25498-8_16 · Cited by 9

Political Tweet Sentiment Analysis for Public Opinion Polling

Kaimakamidis, A., & Pitas, I. (2024) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp48485.2024.10448327 · Cited by 8

Link prediction of community in Microblog based on Exponential Random Graph Model

Zhang, C., Zhai, B., & Wu, M. (2013) · Cited by 8

EventSense

Schinas, M., Papadopoulos, S., Diplaris, S., Kompatsiaris, I. Y., Mass, Y., Herzig, J., & Boudakidis, L. (2013) · Panhellenic Conference on Informatics · doi:10.1145/2491845.2491851 · Cited by 8

Measuring and quantifying the silent majority on the Internet

Venkataraman, M., Subbalakshmi, K. P., & Chandramouli, R. (2012) · IEEE Sarnoff Symposium · doi:10.1109/sarnof.2012.6222761 · Cited by 8

Detecting Emergent Conflicts through Web Mining and Visualization

Johansson, F., Brynielsson, J., Hörling, P., Malm, M., Mårtenson, C., Truvé, S., & Rosell, M. (2011) · European Intelligence and Security Informatics Conference · doi:10.1109/eisic.2011.21 · Cited by 8

Investigating the Heterogeneity of Product Feature Preferences Mined Using Online Product Data Streams

Singh, A., & Tucker, C. S. (2015) · doi:10.1115/detc2015-47439 · Cited by 8

Product Purchase Prediction Based on Time Series Data Analysis in Social Media

Tsuboi, Y., Jatowt, A., & Tanaka, K. (2015) · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · doi:10.1109/wi-iat.2015.170 · Cited by 8

Predictive Visual Analytics using Topic Composition

Yeon, H., & Jang, Y. (2015) · International Symposium on Visual Information Communication and Interaction (VINCI) · doi:10.1145/2801040.2801054 · Cited by 8

A Comprehensive Survey of Time Series Anomaly Detection in Online Social Network Data

Rafiqul, M., Sultana, N., Moni, M. A., Chandra, P., & Rahman, B. (2017) · International Journal of Computer Applications · doi:10.5120/ijca2017915989 · Cited by 8

Social media analytics and internet of things

Ayele, W. Y., & Juell-Skielse, G. (2017) · doi:10.1145/3109761.3158379 · Cited by 8

Event Detection Using Twitter Platform

Goswami, A., & Kumar, A. (2018) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-319-93940-7_18 · Cited by 8

Big Data Analytics in Healthcare

Asri, H., Mousannif, H., & Moatassime, H. A. (2019) · International Journal of Distributed Systems and Technologies · doi:10.4018/ijdst.2019100104 · Cited by 8

Twitter Sentiment Analysis on E-commerce Websites in India

Jhaveri, D., Chaudhari, A., & Kurup, L. (2015) · International Journal of Computer Applications · doi:10.5120/ijca2015906730 · Cited by 8

The Contribution of Social Media Value to Company's Financial Performance: Empirical Evidence from Indonesia

Miqdad, M., & Oktaviani, S. A. (2021) · Journal of Asian Finance Economics and Business · doi:10.13106/jafeb.2021.vol8.no1.305 · Cited by 8

THE ROLE OF USER ENGAGEMENT IN ELECTRONIC 1 WORD-OF-MOUTH AND ONLINE PERFORMANCE

Barlas, A., Stamboulis, Y., & Vleioras, A. (2020) · Organization & Management Scientific Quartely · doi:10.29119/1899-6116.2020.49.1 · Cited by 8

Enhancing Short-Term Sales Prediction with Microblogs: A Case Study of the Movie Box Office

Zhao, J., Xiong, F., & Jin, P. (2022) · Future Internet · doi:10.3390/fi14050141 · Cited by 8

The relevance of social media as it applies in South Africa to crime prediction

Featherstone, C. (2013) · Cited by 8

Social Media Discourse and Genetically Modified Organisms

Munro, K., Hartt, C. M., & Pohlkamp, G. G. (2015) · Social Media + Society · Cited by 8

Using Twitter in the acceleration of marketing new products and services

Jaring, P., Bäck, A., Komssi, M., & Käki, J. (2015) · Journal of Innovation Management · doi:10.24840/2183-0606_003.003_0005 · Cited by 8

Semantic Network Analysis of Islamist Sources Using Time Slices as Nodes and Semantic Similarity as Link Strengths: Some Implications for Propaganda Analysis about Jihad

Danowski, J. A. (2012) · European Intelligence and Security Informatics Conference · doi:10.1109/eisic.2012.53 · Cited by 8

Sifting the sand on the river bank: Social media as a source for research data

Metaxas, P., & Mustafaraj, E. (2014) · it - Information Technology · doi:10.1515/itit-2014-1047 · Cited by 8

Leveraging sociological models for prediction I: Inferring adversarial relationships

Colbaugh, R., & Glass, K. (2012) · IEEE International Conference on Intelligence and Security Informatics (ISI) · doi:10.1109/isi.2012.6284093 · Cited by 8

Extraction of Temporal Networks from Term Co-Occurrences in Online Textual Sources

Popovic, M. A., Štefančić, H., Sluban, B., Novak, P. K., Grćar, M., Mozetič, I., Puliga, M., & Zlatić, V. (2014) · PLoS ONE · doi:10.1371/journal.pone.0099515 · Cited by 8

Emergence of Things Felt: Harnessing the Semantic Space of Facebook Feeling Tags

Zimmerman, C., Stein, M., Hardt, D., & Vatrapu, R. (2015) · CBS Research Portal (Copenhagen Business School) · Cited by 8

Online Textual Sentiment Analysis Technology and It’s Applications

Guoan, Y. U. E., Yinghong, D. O. N. G., Chen, H., & Lai, K. (2013) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2013.01711 · Cited by 8

Social Media Analytics Based Product Improvement Framework

Su, C., & Chen, Y. (2016) · International Symposium on Computer, Consumer and Control · doi:10.1109/is3c.2016.107 · Cited by 8

On URL Changes and Handovers in Social Media

Hamooni, H., Chavoshi, N., & Mueen, A. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-47880-7_4 · Cited by 9

A spatial-temporal visual mid-level ontology for GIF sentiment analysis

Cai, Z., Cao, D., Lin, D., & Ji, R. (2016) · IEEE Congress on Evolutionary Computation (CEC) · doi:10.1109/cec.2016.7744413 · Cited by 8

Social media, diffusion under influence of parameters : survey and perspectives

Henry, D., Stattner, E., & Collard, M. (2017) · Procedia Computer Science · doi:10.1016/j.procs.2017.05.404 · Cited by 8

An Effective Gated and Attention-Based Neural Network Model for Fine-Grained Financial Target-Dependent Sentiment Analysis

Jiang, M., Wang, J., Lan, M., & Wu, Y. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-63558-3_4 · Cited by 8

Le web politique au prisme de la science des données

Boyadjian, J., Olivesi, A., & Velcin, J. (2017) · Réseaux · doi:10.3917/res.204.0009 · Cited by 10

Exploiting Textual, Visual, and Product Features for Predicting the Likeability of Movies.

Shafaei, M., López-Monroy, A. P., & Solorio, T. (2019) · The Florida AI Research Society · Cited by 8

Fates of Microscopic Social Ecosystems

Li, H., Cui, P., Zang, C., Zhang, T., Zhu, W., & Lin, Y. (2019) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3292500.3330827 · Cited by 8

User response to e-WOM in social networks: how to predict a content influence in Twitter

Dahka, Z. Y., Hajiheydari, N., & Rouhani, S. (2019) · International Journal of Internet Marketing and Advertising · doi:10.1504/ijima.2019.10024249 · Cited by 8

Bayesian Model Averaging

Hofmarcher, P., & Grün, B. (2019) · Advanced studies in theoretical and applied econometrics · doi:10.1007/978-3-030-31150-6_12 · Cited by 8

A Hybrid Method for Text-Based Sentiment Analysis

Le, T. V. (2019) · International Conference on Computational Science and Computational Intelligence (CSCI) · doi:10.1109/csci49370.2019.00260 · Cited by 8

On Predictability of Rare Events Leveraging Social Media

Le, L., Ferrara, E., & Flammini, A. (2015) · Conference on Online Social Networks · doi:10.1145/2817946.2817949 · Cited by 8

Predicting Flu Epidemics Using Twitter and Historical Data

Stilo, G., Velardi, P., Tozzi, A. E., & Gesualdo, F. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-09891-3_16 · Cited by 8

What is more predictable in social media

Filchenkov, A. A., Азаров, А. А., & Abramov, M. V. (2014) · International Conference on Electronic Governance and Open Society: Challenges in Eurasia (EGOSE) · doi:10.1145/2729104.2729135 · Cited by 8

Prediction of social mood on Chinese societal risk perception

Dong, Y., Chen, H., Tang, X., Qian, W., & Zhou, A. (2015) · International Conference on Behavioral, Economic, and Socio-Cultural Computing · doi:10.1109/besc.2015.7365966 · Cited by 8

Predicting Financial Markets: Comparing Survey, News, Twitter and Search Engine Data

Mao, H., Counts, S., & Bollen, J. (2011) · arXiv · doi:10.48550/arxiv.1112.1051 · Cited by 145

Approved for External Publication © Copyright 2010 Hewlett-Packard Development Company

Asur, S., & Huberman, B. A. (2014)

Scientific Journal Impact Factor: 3.449 (ISRA), Impact Factor: 2.114

Patel, P., Patel, R., & Agrawal, E. (2016)

Social Media Mining

Choudhery, D., & Leung, C. K.-S. (2017) · International Database Engineering and Applications Symposium (IDEAS) · doi:10.1145/3105831.3105854 · Cited by 45

The power of twitter on predicting box office revenues

Jeon, J., & McSharry, P. (2012) · Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) · Cited by 2

Predictive Model for Box-office Success of Movies Using Social media

Thite, P., Shah, N., & Marakarkandy, B. (2014)