Understanding Slang and Informal Language

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Understanding Slang and Informal Language (approx. 400 words)

1.1 Defining Slang and Informal Language

1.2 The Prevalence of Slang in Online Communication

1.3 Linguistic Characteristics of Informal Language

1.4 The Impact of Slang on Natural Language Processing

Challenges of Slang Ghost Mannequin Service in NLP Applications (approx. 400 words)

2.1 Sentiment Analysis and Emotional Expressions

2.2 Slang in Text Classification and Categorization

2.3 Machine Translation and Slang Adaptation

2.4 Named Entity Recognition and Slang Entities

NLP Techniques for Slang Handling (approx. 400 words)

3.1 Lexicon-Based Approaches to Slang Detection

3.2 Rule-Based Systems for Slang Interpretation

3.3 Machine Learning for Slang Identification

3.4 Neural Networks for Slang Understanding.

Sentiment Analysis and Emotional Expressions (approx. 300 words)

4.1 The Role of Slang in Emotional Expression

4.2 Contextual Analysis for Slang Sentiment

4.3 Sarcasm and Irony Detection in Informal Language

4.4 Sentiment Transfer for Slang Adaptation

Text Classification and Slang Categorization (approx. 300 words)

5.1 Slang as a Challenge in Text Categorization

5.2 Handling Slang in Topic Modeling

5.3 Slang and Irony in Opinion Mining

5.4 The Role of Context in Slang Classification.

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