Text Analysis Types

Total analysis types found:

Name Description Usefulness Interpretation
Fact Extraction Identifies and extracts factual statements from the text. Helps in summarizing key information and identifying important facts in the text. A list of extracted factual statements from the text.
Key Phrase Extraction Identifies and extracts important phrases from the text. Helps in summarizing the main points and identifying key concepts in the text. A list of important phrases extracted from the text, often ranked by importance.
Key Sentence Extraction Identifies and extracts the most important sentences from the text. Provides a quick summary of the main points in the text. A list of key sentences that best represent the main ideas of the text.
Keyword Analysis Identifies and analyzes the most important words in the text. Helps in understanding the main themes and topics of the text. A list of keywords with their frequency and importance scores.
Keyword Importance Analysis Analyzes the relative importance of keywords in the text. Helps identify the most significant terms and concepts in the text. A ranked list or visualization of keywords based on their importance in the text.
Knowledge Graph Creates a graph representation of entities and their relationships in the text. Provides a visual representation of the interconnections between concepts in the text. A network graph showing entities as nodes and their relationships as edges.
Language Detection Identifies the language(s) used in the text. Helpful for processing multilingual texts or confirming the language of a document. The identified language(s) of the text, possibly with confidence scores if multiple languages are detected.
Lexical Chain Analysis Analyzes chains of related words throughout the text. Helps understand the flow of topics and themes in the text. A list or visualization of word chains showing how concepts are linked throughout the text.
Lexical Diversity Analysis Measures the variety of unique words used in the text. Provides insights into the richness and complexity of the vocabulary used. A score or set of metrics indicating the level of vocabulary diversity in the text.
Main Ideas Extraction Identifies and extracts the main ideas or themes from the text. Provides a concise summary of the key points in the text. A list of the main ideas or themes extracted from the text.
Mendenhall Curve Plots the frequency of words of different lengths in the text. Can be used for authorship attribution and stylometric analysis. A graph showing the distribution of word lengths, which can be characteristic of an author's style.
Morphological Analysis Analyzes the structure and formation of words in the text. Provides insights into the grammatical structure and word formation patterns in the text. A breakdown of words into their morphemes (roots, prefixes, suffixes) and their grammatical properties.