What are the key differences between LexRank and TextRank?

Compare LexRank and TextRank side by side on Lunoo to see detailed feature differences, AI scores, and expert analysis.

How are LexRank and TextRank scored?

LexRank has an AI score of 7.0/10 and TextRank has an AI score of 7.2/10. Scores are based on category fit, feature coverage, pricing signals, public reception, and recency.

LexRank vs TextRank 2026 - Compared

LexRank

TextRank

WINNER TextRank

TextRank edges ahead with a score of 7.2/10 compared to 7.0/10 for LexRank. While both are highly rated in their respect...

LexRank

7.04 Good

Text Summarizer

emoji_events WINNER

TextRank edges ahead with a score of 7.2/10 compared to 7.0/10 for LexRank. While both are highly rated in their respective fields, TextRank demonstrates a slight advantage in our AI ranking criteria. A detailed AI-powered analysis is being prepared for this comparison.

emoji_events Winner: TextRank

verified Confidence: Low

description Overview

LexRank

LexRank is an unsupervised, graph-based method for extractive text summarization. It represents sentences as nodes, connects sentences according to lexical similarity, and applies an eigenvector centrality calculation related to PageRank to identify sentences that are important within the resulting network. The method is used to select representative sentences from one document or a collection of...

TextRank

TextRank is an unsupervised, graph-based algorithm used for extractive text summarization and keyword extraction. Introduced in 2004 by Rada Mihalcea and Paul Tarau, it operates by building a graph where sentences or words represent vertices connected by their semantic or lexical similarity. The algorithm applies a variation of Google's PageRank formula to these vertices to identify the most centr...