Text mining

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Topic (help)
Text mining
Variations:
Category: Text mining
Parents:

Data mining

Children:

Text classification
Sentiment analysis
Information extraction
Neuroscience text mining
Literature-based discovery
Tokenization
Neural language model
Question classification

Databases:
Search
Papers: DOAJ Google Scholar PubMed
Ontologies: MeSH NeuroLex Wikidata Wikipedia
Other: Google Twitter WolframAlpha

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

Text mining is computerized automatic text processing, e.g., to cluster papers, classify emails, determine sentiment of text and extract relationships between named entities.

Contents

[edit] Areas

  1. Chunking
  2. Co-word analysis
  3. Literature-based discovery
  4. Part-of-speech tagging
  5. Question answering
  6. Question classification
  7. Sentiment analysis
  8. Text negation analysis
  9. Tokenization

[edit] Tools

  1. Gensim, Python tool for, e.g., latent semantic analysis
  2. I2E, text mining toolkit from Linguamatics
  3. NLTK, natural processing toolkit for Python. Probably the leading NLP toolkit for Python.
  4. OpenNLP, written in Java
  5. Textpresso for Neuroscience http://www.textpresso.org/neuroscience/

[edit] Papers

[edit] Neuroscience

  1. Data mining a functional neuroimaging database for functional segregation in brain regions
  2. Automated recognition of brain region mentions in neuroscience literature
  3. Mining for associations between text and brain activation in a functional neuroimaging database
  4. Mining the posterior cingulate: segregation between memory and pain components
  5. Modeling of activation data in the BrainMap(TM): Detection of outliers

[edit] Bioinformatics

  1. Application and evaluation of automated semantic annotation of gene expression experiments
  2. Raul Rodriguez-Esteban (2009). "Biomedical Text Mining and Its Applications". PLoS Computational Biology 5(12): e1000597. doi: 10.1371/journal.pcbi.1000597.

[edit] General science

  1. Edoardo M. Airoldi, Elena A. Erosheva, Stephen E. Fienberg, Cyrille Joutard, Tanzy Love, Suyash Shringarpure (2010). "Reconceptualizing the classification of PNAS articles". PNAS 107(49): 20899-20904. doi: 10.1073/pnas.1013452107.
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