Search Results for "network analysis"

"Jaba" Chinese word segmentation, do the best Python Chinese word segmentation component. Four word segmentation modes are supported. Precise mode, which tries to cut the sentence most precisely, suitable for text analysis. Full mode, scans all the words that can be formed into words in the sentence, the speed is very fast, but the ambiguity cannot be resolved. The search engine mode, on the basis of the precise mode, divides the long words again to improve the recall rate, which is suitable for word segmentation in search engines. The paddle mode uses the PaddlePaddle deep learning framework to train the sequence labeling (bidirectional GRU) network model to achieve word segmentation. ...

SetFon focus is an interface web based for Praat resources (www.praat.org) wich focus speech sound annalysis; it is a gerent program for acoustic analysis PHP/Mysql based. Developed with the framework SIMP.

Requirement Heap is a web based requirement management /business analysis application. It allows to enter requirement in rich text, supports versioning and the management of requirements. It also handles use cases, interviews and test cases. It allows multiple projects. Stakeholders and glossaries can be handled per project or globally.

Thetis is a Java (OS-independent) application written to allow the linguistic and statistical analysis of the Homeric and Hesiodic Epic. Current achievement is the creation of a complete (and free) Thesaurus of the Homeric and Hesiodic poems.

Unstructured text is no match for Litersta - see further details here: https://litersta.com Working with text now becomes effortless when paired with Litersta textual analytics software. Unlike database fields, which are easily queried, text contains unstructured data that must be parsed for key objects that can be transformed in to powerful metrics. Litersta - textual analytics - software leverages statistical algorithms to programmatically locate, and extract, overall document...

A knowledgment management system written in Java under JBoss 4.2.3 Server, with richfaces 3.3.0BETA4. Including fileconversion from html to pdf and rich:editor component without special syntaxing.