Hypex: A Tool for Extracting Business Intelligence from Sentiment Analysis using Enhanced LSTM
暂无分享,去创建一个
Pooja Jain | Tapan Kumar Jain | Ilayaraja Sreesurya | Himani Rathi | T. Jain | Pooja Jain | Ilayaraja Sreesurya | Himani Rathi
[1] Amit P. Sheth,et al. Challenges of Sentiment Analysis for Dynamic Events , 2017, IEEE Intelligent Systems.
[2] Jürgen Schmidhuber,et al. Learning to Forget: Continual Prediction with LSTM , 2000, Neural Computation.
[3] Hela Daassi-Gnaba,et al. External vs. Internal SVM-RFE: The SVM-RFE Method Revisited and Applied to Emotion Recognition , 2015 .
[4] Maite Taboada,et al. Lexicon-Based Methods for Sentiment Analysis , 2011, CL.
[5] Zhenzhen Xie. A non-linear approximation of the sigmoid function based on FPGA , 2012, 2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI).
[6] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[7] Veda C. Storey,et al. Business Intelligence and Analytics: From Big Data to Big Impact , 2012, MIS Q..
[8] Om Prakash Vyas,et al. An interpretation of sentiment analysis for enrichment of Business Intelligence , 2016, 2016 IEEE Region 10 Conference (TENCON).
[9] Abien Fred Agarap,et al. Statistical Analysis on E-Commerce Reviews, with Sentiment Classification using Bidirectional Recurrent Neural Network (RNN) , 2018, ArXiv.
[10] Babar Hayat,et al. Sentiment Analysis Using Deep Learning Techniques: A Review , 2017, International Journal of Advanced Computer Science and Applications.
[11] E Omid Mahdi Ebadati,et al. An efficient hybrid machine learning method for time series Stock market forecasting , 2018 .
[12] Christopher Potts,et al. Learning Word Vectors for Sentiment Analysis , 2011, ACL.
[13] Horacio Saggion,et al. Extracting Opinions and Facts for Business Intelligence , 2009, Fouille de Données d'Opinions.
[14] Julian J. McAuley,et al. Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering , 2016, WWW.
[15] Justin Zhijun Zhan,et al. Sentiment analysis using product review data , 2015, Journal of Big Data.
[16] Alfons Kemper,et al. Operational Business Intelligence: Processing Mixed Workloads , 2013, IT Professional.
[17] Roman Moucek,et al. PROCESSING AND CATEGORIZATION OF CZECH WRITTEN DOCUMENTS USING NEURAL NETWORKS , 2012 .
[18] S. A. Feyzbakhsh,et al. Adam-Eve genetic algorithm as a function optimizer , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).
[19] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[20] Jürgen Schmidhuber,et al. LSTM recurrent networks learn simple context-free and context-sensitive languages , 2001, IEEE Trans. Neural Networks.
[21] Vimalkumar B. Vaghela,et al. Sentiment Analysis using Support Vector Machine based on Feature Selection and Semantic Analysis , 2016 .
[22] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[23] Siwei Lyu,et al. LSTM with working memory , 2016, 2017 International Joint Conference on Neural Networks (IJCNN).
[24] Sepp Hochreiter,et al. The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions , 1998, Int. J. Uncertain. Fuzziness Knowl. Based Syst..
[25] Jorge Carrillo de Albornoz,et al. Sentiment Analysis in Business Intelligence: A survey , 2012 .