Demographic Factors Improve Classification Performance

Ivan Zapreev
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Ivan Zapreev
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Paper by Dirk Hovy ACL P3 2015

Resource summary

Demographic Factors Improve Classification Performance
  1. Introduction
    1. Socio Lingusits
      1. Language Use
        1. Demographic Factors
          1. Age
            1. Gender
            2. Results
              1. Yond people and womenare are more creative
                1. Men and older people are less creative
            3. Natural language Processing
              1. Initial Assumption
                1. Language is Uniform
                2. Test Data
                  1. Social Media
                    1. Model
                      1. Bad performance
                        1. Without demographic factors
                        2. Good performance
                          1. With demographic factors
                            1. Multiple studies
                          2. NON UNIFORM
                          3. News
                            1. UNKNOWN
                              1. ?
                          4. Text classification tasks
                            1. Sentiment analysis
                              1. Determining the popularity of a document
                              2. Topic identification
                                1. Assigning a high level concept to a document that captures its content
                                2. Author attribute clasification
                                  1. Inferring demographic factors from linguistic features
                            2. Research Focus
                              1. Encoding demographic factors?
                                1. Embeddings conditioned on respective demographic variable
                                  1. Distributed representations of words in a vector space, capturing syntactic and semantic regularities among words
                                2. Effect of demographic factors on performance?
                                  1. F1 performance of classifiers
                                    1. Text classification tasks
                                      1. With demographic info
                                        1. CONSISTENTLY BETTER
                                          1. Small improvements
                                            1. On average
                                              1. In 8/30 cases statistically significant
                                                1. p<0.005 bootstrap sampling tests
                                                2. ?
                                            2. Without demographic info
                                              1. Five different languages
                                                1. Danish
                                                  1. Franch
                                                    1. German
                                                      1. English
                                                        1. US
                                                          1. British
                                                        2. ?
                                                        3. Using Logistic regression models
                                                          1. ?
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