100 Textual Analysis Methodologies

Here’s a list of 100 Textual Analysis Methodologies used across fields like literature, linguistics, sociology, psychology, communication, media studies, and digital humanities. These methods aim to interpret, decode, or analyze written, spoken, or symbolic language in texts:


Linguistic & Grammatical Approaches

  1. Lexical Analysis
  2. Syntactic Analysis
  3. Morphological Analysis
  4. Phonological Analysis
  5. Semantic Analysis
  6. Pragmatic Analysis
  7. Discourse Analysis
  8. Concordance Analysis
  9. Collocation Analysis
  10. Frequency Analysis

Literary & Rhetorical Analysis

  1. Close Reading
  2. Narrative Analysis
  3. Symbolic Analysis
  4. Thematic Analysis
  5. Character Analysis
  6. Plot Structure Analysis
  7. Figurative Language Analysis
  8. Rhetorical Devices Analysis
  9. Allusion Detection
  10. Genre Analysis

Cognitive & Psychological Approaches

  1. Reader-Response Theory
  2. Schema Theory
  3. Framing Analysis
  4. Cognitive Metaphor Analysis
  5. Priming Analysis
  6. Affective Text Analysis
  7. Persuasion Theory Analysis
  8. Implicit Bias Detection in Text
  9. Memory Recall Patterns in Narratives
  10. Motivational Text Analysis

Sociolinguistic & Cultural Approaches

  1. Sociolinguistic Analysis
  2. Code-Switching Analysis
  3. Language Variation and Identity
  4. Cultural Discourse Analysis (CuDA)
  5. Critical Race Discourse Analysis
  6. Gendered Language Analysis
  7. Ethnographic Content Analysis
  8. Political Discourse Analysis
  9. Social Semiotics
  10. Intertextuality Analysis

📰 Media & Communication Studies

  1. Media Framing Analysis
  2. Agenda-Setting Analysis
  3. Public Discourse Analysis
  4. Propaganda Analysis
  5. Bias Detection in News
  6. Framing in Social Media Posts
  7. Hashtag and Tag Analysis
  8. Memetic Language Analysis
  9. Comment Sentiment Analysis
  10. Disinformation and Fake News Detection

Critical & Philosophical Theories

  1. Critical Discourse Analysis (CDA)
  2. Marxist Textual Analysis
  3. Post-Structuralist Analysis
  4. Postcolonial Textual Analysis
  5. Deconstruction (Derrida)
  6. Feminist Textual Analysis
  7. Queer Theory Analysis
  8. Psychoanalytic Criticism (Freud/Lacan)
  9. Eco-Criticism
  10. Phenomenological Textual Interpretation

Computational & Digital Methods

  1. Topic Modeling (e.g., LDA)
  2. Text Classification
  3. Named Entity Recognition (NER)
  4. TF-IDF Weighting
  5. Word Embeddings (e.g., Word2Vec, GloVe)
  6. Text Clustering
  7. Sentiment Analysis (NLP-based)
  8. Emotion Detection in Text
  9. Part-of-Speech Tagging
  10. Corpus-Based Analysis

Stylistic & Authorial Analysis

  1. Stylometry
  2. Authorial Attribution
  3. Language Complexity Metrics
  4. Readability Index (e.g., Flesch-Kincaid)
  5. Text Coherence Analysis
  6. Register Analysis
  7. Tone and Voice Analysis
  8. Punctuation and Syntax Style Patterns
  9. Interpersonal Style in Text
  10. Idiolect Analysis

Data-Driven & Mixed Methods

  1. Keyword-in-Context (KWIC)
  2. Cluster Analysis of Text Segments
  3. Comparative Textual Analysis
  4. Cross-Linguistic Textual Analysis
  5. Multimodal Textual Analysis
  6. Parallel Corpus Analysis
  7. Annotated Text Evaluation
  8. Quantitative Content Analysis
  9. Latent Semantic Analysis (LSA)
  10. Longitudinal Text Analysis

Experimental & Novel Approaches

  1. Eye-Tracking Text Studies
  2. Voice-Assisted Reading Behavior Studies
  3. Gamified Text Interaction Analysis
  4. Narrative Transportation Testing
  5. Crisis Communication Text Studies
  6. Virtual Agent/Textual Dialogue Analysis
  7. Cross-Platform Text Comparison
  8. Code and Script Textual Analysis
  9. Chatbot Text Quality Assessment
  10. Multilingual Emotion Flow Analysis