Search Results for "latent semantic analysis aplication"

Gensim is a Python library for topic modeling, document indexing, and similarity retrieval with large corpora. The target audience is the natural language processing (NLP) and information retrieval (IR) community.

... to find which ones are inspiring. - Use the inspiring word clouds to rephrase the story in an original way, then expand it. Enrich with various text mining algorithms to retrieve automatically the different ways the same thing is said in a given context (series of publications on same topic or from same organization for example): latent semantic analysis, topic modeling, rule-based text mining, etc. This allows rewriting a text with the specific 'style' of a corpus.

SenseClusters is a suite of Perl programs that clusters similar written contexts using unsupervised methods. It supports its own native methods and Latent Semantic Analysis. It takes users from preprocessing of text to clustered output.

Goal is to create tools for Latent Semantic Analysis (LSA) and Language Modeling. LSA allows stuff like automatic classification of documents, based on their content (recognize spam from normal email). Language Modeling is neccessary for continuous speech

Baggr is feed aggregator using latent semantic analysis for filtering feed items

Facilitates data mining/natural language processing experiments to be executed on weblogs, such as classification, clustering and rating. As part of these experiments, it is possible to apply Latent Semantic Analysis.

This prototype uses Latent Sementic Analysis (LSA) to calculate a similarity between content in a portfolio and content in a course/learning network. The web-service is build on top of the Latent Semantic Analysis extension for PHP (http://phplsa.sourcef

Latent Semantic Analysis extension for PHP. This php extension is ment to perform small scale LSA expermements like providing related content, document mapping or tuning LSA parameters in a loop.

Mathematica packages and related documents for the implementation and use of Machine Learning and Statistical algorithms used for prediction and personalization. Here is a closely related blog : https://mathematicaforprediction.wordpress.com .