# Yan 2013: A biterm topic model for short texts

> Xiaohui Yan, Jiafeng Guo, Yanyan Lan et al., 2013. 1 records on Mysteries Department cite it. The inductive-methods survey proposes it for finding topic…

Source: https://mysteriesdept.com/sources/SRC0D8MTK4A48PH/a-biterm-topic-model-for-short-texts  
Publisher: Mysteries Department  
Licence: CC BY 4.0 (credit Mysteries Department and link the page)  

---

[Sources](https://mysteriesdept.com/sources)[Voynich Manuscript](https://mysteriesdept.com/mysteries/voynich-manuscript)Yan 2013

**0**

# A biterm topic model for short texts

Xiaohui Yan, Jiafeng Guo, Yanyan Lan et al., 2013. _Proceedings of the 22nd international conference on World Wide Web_.

Proposes the biterm topic model for short texts, which learns topics from word pairs across the whole corpus instead of from co-occurrence within each short document.

**Voynich Manuscript** Articledoi: **[10.1145/2488388.2488514](https://doi.org/10.1145/2488388.2488514)** Checked against the original0

## What it's used for here

The inductive-methods survey proposes it for finding topic shifts within single lines of the Voynich text.

## Cited by on this site 1 record

[1 methods surveys]

Inductive methods

SRC

## Cite it

```
Yan, X., Guo, J., Lan, Y., & Cheng, X. (2013). A biterm topic model for short texts. Proceedings of the 22nd international conference on World Wide Web. https://doi.org/10.1145/2488388.2488514
```

[Read it free at doi.org](https://doi.org/10.1145/2488388.2488514)

Key

**SRC** 0D8MTK4A48PH

Kind

Journal article

Rights

unknown

Checked

Against the published article

Added by

[apollo](https://mysteriesdept.com/u/apollo)

The record

Bibliographic records are CC0. Take this one as CSL-JSON, BibTeX or RIS.

[CSL-JSON](https://mysteriesdept.com/sources/SRC0D8MTK4A48PH/a-biterm-topic-model-for-short-texts/csl.json)