Text Analysis Types

Total analysis types found:

Name Description Usefulness Interpretation
Acronym Extraction Identifies and extracts acronyms from the text. Helps in understanding specialized terminology and abbreviations used in the text. A list of acronyms found in the text, potentially with their expanded forms if available.
Concise Summary Generates a brief summary of the main points in the text. Provides a quick overview of the key content of the text. A short paragraph or bullet points summarizing the main ideas of the text.
Concise Summary Generates a brief summary of the main points in the text. Provides a quick overview of the key content of the text. A short paragraph or bullet points summarizing the main ideas of the text.
Coreference Resolution Identifies and links mentions of the same entities across the text. Helps in understanding how entities are referred to throughout the text, improving overall comprehension. A list of entity mentions grouped by the entity they refer to, showing how references are connected across the text.
Dependency Parsing Visualization Visually represents the grammatical structure of sentences based on word dependencies. Helps understand the syntactic structure and relationships between words in sentences. A tree-like diagram for each sentence showing the grammatical relationships between words.
Discourse Coherence Analysis Analyzes the logical and semantic connections between sentences and paragraphs. Helps evaluate the overall coherence and flow of ideas in the text. Metrics or scores indicating the level of discourse coherence, possibly with identification of coherence breaks or strong connections.
Discourse Marker Analysis Identifies and analyzes the use of discourse markers (e.g., 'however', 'therefore') in the text. Helps understand the logical structure and flow of arguments in the text. A list of discourse markers found in the text, their frequencies, and their roles in structuring the discourse.
Emotion Analysis Analyzes the emotional content of the text. Provides insights into the emotional tone and sentiment of the text. A breakdown of detected emotions (e.g., joy, sadness, anger) and their relative intensities.
Emotion Analysis Visualization Visually represents the emotional content of the text. Offers a quick, visual understanding of the emotional composition of the text. A chart or graph showing the distribution of different emotions in the text.
Enhanced Word Cloud Creates an advanced visual representation of word frequency in the text. Provides a quick, visually appealing overview of the most prominent words in the text. A word cloud image where word size corresponds to frequency, with additional features like color coding for parts of speech or sentiment.
Entity Frequency Analysis Analyzes how often different entities (e.g., people, places, organizations) are mentioned in the text. Helps identify key entities and their importance in the text. A list or chart of entities and their frequency of occurrence in the text.
Entity Relationship Analysis Examines relationships between different entities mentioned in the text. Helps understand connections and interactions between key entities in the text. A network graph or table showing relationships between entities.