Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Detecting Emotions in Social Media: A Constrained Optimization Approach
Authors: Yichen Wang, Aditya Pal
IJCAI 2015 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Finally, we evaluate our model through three diverse real world datasets, and show that it outperforms existing state-of-art methods for emotion detection. |
| Researcher Affiliation | Collaboration | Yichen Wang Aditya Pal Georgia Institute of Technology IBM Research Atlanta, GA San Jose, CA EMAIL EMAIL |
| Pseudocode | Yes | Algorithm 1 MINIMIZE Ψ 1: Initialize S(0), D(0), u(0), v(0), A(0), B(0) randomly 2: t = 0 3: repeat 4: t = t + 1 5: Compute S(t) using multiplicative rule (Eq 5). 6: Similarly compute D(t), u(t), v(t), A(t), B(t). 7: until Ψ(t 1) Ψ(t) ϵ or t max Iteration 8: return S(t), D(t), u(t), v(t), A(t), B(t) |
| Open Source Code | No | The paper does not provide any explicit statements or links indicating that the source code for the methodology is openly available. |
| Open Datasets | Yes | Sem Eval2: This dataset consists of 1250 news headlines annotated by human coders on six emotions... http://web.eecs.umich.edu/~mihalcea/downloads.html |
| Dataset Splits | Yes | We use 10-fold cross validation to run our experiments and report precision (P), recall (R), and F-score (F). |
| Hardware Specification | No | The paper does not provide any specific details about the hardware (e.g., GPU models, CPU types, memory) used to run the experiments. |
| Software Dependencies | No | The paper mentions mathematical models and algorithms (e.g., NMF, SVM, multiplicative update rule) but does not specify any software libraries or their version numbers used in the implementation. |
| Experiment Setup | Yes | We use cosine similarity between the documents features to compute their topic similarity and set threshold τ=0.8. |