Unsupervised Text Classification

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

5 shown of 5 papers with code (12 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Evaluating Unsupervised Text Classification: Zero-shot and Similarity-based Approaches
  29 Nov 2022 2 repositories listed
  Text classification of unseen classes is a challenging Natural Language Processing task and is mainly attempted using two different types of approaches.
• Lbl2Vec: An Embedding-Based Approach for Unsupervised Document Retrieval on Predefined Topics
  12 Oct 2022 1 repository listed
  When successively retrieving documents on different predefined topics from publicly available and commonly used datasets, we achieved an average area under the receiver operating characteristic curve value of 0.
• Lex2Sent: A bagging approach to unsupervised sentiment analysis
  26 Sep 2022 1 repository listed
  Unsupervised text classification, with its most common form being sentiment analysis, used to be performed by counting words in a text that were stored in a lexicon, which assigns each word to one class or as a neutral…
• DocSCAN: Unsupervised Text Classification via Learning from Neighbors
  9 May 2021 1 repository listed
  We introduce DocSCAN, a completely unsupervised text classification approach using Semantic Clustering by Adopting Nearest-Neighbors (SCAN).
• Diversity-Based Generalization for Unsupervised Text Classification under Domain Shift
  25 Feb 2020 1 repository listed
  At present, the state-of-the-art unsupervised domain adaptation approaches for subjective text classification problems leverage unlabeled target data along with labeled source data.