Search Results for author:
Found 11 papers, 3 papers with code
Casting the Same Sentiment Classification Problem
We introduce and study a problem variant of sentiment analysis, namely the “same sentiment classification problem”, where, given a pair of texts, the task is to determine if they have the same sentiment, disregarding the actual sentiment polarity.
On Classifying whether Two Texts are on the Same Side of an Argument
To ease the difficulty of argument stance classification, the task of same side stance classification (S3C) has been proposed.
Press Freedom Monitor: Detection of Reported Press and Media Freedom Violations in Twitter and News Articles
Freedom of the press and media is of vital importance for democratically organised states and open societies.
Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning
In total, we process nine categories and actively learn their representation in our dataset.
Multi-modal Page Stream Segmentation with Convolutional Neural Networks
In the case of multi-page documents, the preservation of document contexts is a major requirement.
Optical Character Recognition
Optical Character Recognition (OCR)
+2
iLCM - A Virtual Research Infrastructure for Large-Scale Qualitative Data
The iLCM project pursues the development of an integrated research environment for the analysis of structured and unstructured data in a "Software as a Service" architecture (SaaS).
Detecting and assessing contextual change in diachronic text documents using context volatility
The new measure of context volatility that we propose models the degree by which terms change context in a text collection over time.
Page Stream Segmentation with Convolutional Neural Nets Combining Textual and Visual Features
In recent years, (retro-)digitizing paper-based files became a major undertaking for private and public archives as well as an important task in electronic mailroom applications.
Optical Character Recognition
Optical Character Recognition (OCR)
+1
Leipzig Corpus Miner - A Text Mining Infrastructure for Qualitative Data Analysis
This paper presents the "Leipzig Corpus Miner", a technical infrastructure for supporting qualitative and quantitative content analysis.
Modeling the dynamics of domain specific terminology in diachronic corpora
In terminology work, natural language processing, and digital humanities, several studies address the analysis of variations in context and meaning of terms in order to detect semantic change and the evolution of terms.
