Add to ORKGhalle.de Quantifying the coherence of a set of statements is a long standing problem with many potential applications that has attracted researchers from different sciences. The special case of measuring coherence of topics has been recently stud-ied to remedy the problem that topic models give no guar-anty on the interpretablity of their output. Several bench-mark datasets were produced that record human judgements of the interpretability of topics. We are the first to propose a framework that allows to construct existing word based coherence measures as well as new ones by combining ele-mentary components. We conduct a systematic search of the space of coherence measures using all publicly available topic relevance data for the evaluation...
Probabilistic topic models have become one of the most widespread machine learning technique for te...
Probabilistic topic models have become one of the most widespread machine learning technique for te...
When developing topic models, a critical question that should be asked is: How well will this model ...
Topic models extract representative word sets—called topics—from word counts in documents without re...
There is a rising need for automated analysis of news text, and topic models have proven to be usefu...
Topic models arise from the need of understanding and exploring large text document collections and...
Topic models arise from the need of understanding and exploring large text document collections and...
We investigate the potential of coherence-based scores to predict query difficulty. The coherence of...
In my research, I propose a coherence measure, with the goal of discovering and using topic structur...
Twitter offers scholars new ways to understand the dynamics of public opinion and social discussion...
Probabilistic topic models have become one of the most widespread machine learning techniques in te...
Managing large collections of documents is an important problem for many areas of science, industry,...
Topic modeling is an important tool in social media anal-ysis, allowing researchers to quickly under...
Probabilistic topic models have become one of the most widespread machine learning technique for tex...
Probabilistic topic models have become one of the most widespread machine learning technique for tex...
Probabilistic topic models have become one of the most widespread machine learning technique for te...
Probabilistic topic models have become one of the most widespread machine learning technique for te...
When developing topic models, a critical question that should be asked is: How well will this model ...
Topic models extract representative word sets—called topics—from word counts in documents without re...
There is a rising need for automated analysis of news text, and topic models have proven to be usefu...
Topic models arise from the need of understanding and exploring large text document collections and...
Topic models arise from the need of understanding and exploring large text document collections and...
We investigate the potential of coherence-based scores to predict query difficulty. The coherence of...
In my research, I propose a coherence measure, with the goal of discovering and using topic structur...
Twitter offers scholars new ways to understand the dynamics of public opinion and social discussion...
Probabilistic topic models have become one of the most widespread machine learning techniques in te...
Managing large collections of documents is an important problem for many areas of science, industry,...
Topic modeling is an important tool in social media anal-ysis, allowing researchers to quickly under...
Probabilistic topic models have become one of the most widespread machine learning technique for tex...
Probabilistic topic models have become one of the most widespread machine learning technique for tex...
Probabilistic topic models have become one of the most widespread machine learning technique for te...
Probabilistic topic models have become one of the most widespread machine learning technique for te...
When developing topic models, a critical question that should be asked is: How well will this model ...