How Do Your Friends on Social Media Disclose Your Emotions?
Authors: Yang Yang, Jia Jia, Shumei Zhang, Boya Wu, Qicong Chen, Juanzi Li, Chunxiao Xing, Jie Tang
AAAI 2014 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiments on an open Flickr dataset show that the proposed model can significantly improve (+37.4% by F1) the accuracy for inferring user emotions. |
| Researcher Affiliation | Academia | Department of Computer Science and Technology, Tsinghua University Tsinghua National Laboratory for Information Science and Technology (TNList) |
| Pseudocode | Yes | Algorithm 1: Probabilistic generative process in the proposed model. |
| Open Source Code | Yes | The dataset, all codes, and visual features used in the experiments are public available 3. 3http://arnetminer.org/emotion/ |
| Open Datasets | Yes | Experiments on an open Flickr dataset show that the proposed model can significantly improve (+37.4% by F1) the accuracy for inferring user emotions. |
| Dataset Splits | Yes | We conduct a 5-fold cross validation to evaluate each method and report the averaged results. |
| Hardware Specification | No | The paper does not provide specific details about the hardware used to run the experiments. |
| Software Dependencies | No | The paper mentions using 'LIBSVM (Chang and Lin 2011)' but does not provide its version number or any other software dependencies with specific versions. |
| Experiment Setup | Yes | For parameter configuration, we empirically set K = 6, α = 0.1, γ = 0.1, τ = 0.01, b0 = 1, and b1 = 2. |