Search Results for "text mining concept"
Sort By:
Showing 12 open source projects for "text mining concept"
View related business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
1
DocWire SDK
Award-winning modern data processing SDK in C++20
DocWire SDK, a standout C++20AI driven data processing tool, has received award from SourceForge and strong backing from Microsoft. It handles nearly 100 file types, empowering efficient text extraction, web data extraction, and document analysis. For businesses, the shift to DocWire SDK signifies a leap forward. It promises comprehensive document format support and the ability to extract valuable insights from email boxes, databases, and websites using cutting-edge AI. DocWire SDK aims to... -
2
SentimentAnalysis-Rick&Morty
Rick & Morty Sentiment Analysis - End-of-Degree Project - UNIR
The remarkable progress in the field of Big Data has driven the development of new technologies in natural language processing and data analysis. Text mining is a fascinating application of data analysis that extracts relevant information from related writings in different linguistic contexts. And therefore, in natural language processing, sentiment analysis and classification stands out as a key application supported by text mining. Through the extraction of information from textual data, it becomes possible to identify and comprehend the sentiments and emotions conveyed. ... -
3
DataMelt
Computation and Visualization environment
DataMelt (or "DMelt") is an environment for numeric computation, data analysis, computational statistics, and data visualization. This Java multiplatform program is integrated with several scripting languages such as Jython (Python), Groovy, JRuby, BeanShell. DMelt can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear... -
4
DynaQ
Innovative text document search. http://dynaq.opendfki.de for details.
The goal of DynaQ is to develop an inquiry system to explore the personal information space, supporting you with the searching paradigm 'orienteering'. DynaQ is a (desktop)search engine with enhanced functionality for file, email and blog search. Look at our GitLab homepage for sourcecode and documentation: http://dynaq.opendfki.de -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
5
DataKit
Connect processes into powerful data pipelines
Connect processes into powerful data pipelines with a simple git-like filesystem interface. DataKit is a tool to orchestrate applications using a Git-like dataflow. It revisits the UNIX pipeline concept, with a modern twist: streams of tree-structured data instead of raw text. DataKit allows you to define complex build pipelines over version-controlled data. DataKit is currently used as the coordination layer for HyperKit, the hypervisor component of Docker for Mac and Windows, and for the DataKitCI continuous integration system. src contains the main DataKit service. ... -
6
DSTK - Data Science TooKit 3
Data and Text Mining Software for Everyone
...DSTK ScriptWriter offers GUI to write DSTK script. DSTK Studio offers SPSS Statistics like GUI for data mining, and DSTK Text Explorer offers GUI for Text Mining. DSTK Engine and DSTK ScriptWriter are opensource, but DSTK Studio and Text Explorer requires small amount of payment. DSTK Studio and Text Explorer are free to use 10 times -
7
Adele
Adhoc Data Exploration - Live & Easy
...For example realtime OLAP, transformations, charts, analysis tools,... Connectors (e.g. JDBC, SAP ABAP, OData) can be used to pre-analyse the data and extract it without saving the data as text files. A plugin concept for enhancements are available. Enjoy! Its free for commercial use too. Adele runs without installation from USB stick for Windows, Linux and MacOSX. Last added changes: - data science tools (V1, IQR) - export to remote and desktop databases (mysql,sqlite, ms access) - internet features for emails and domains -
8
iCubing
Several OLAP algorithms, data structures and HPC OLAP versions
OLAP technology is very useful for decision makers and data mining tools with BIG data. In this direction, we implement iCubing project with several multidimensional data cube approaches for cube indexing, querying, updating and mining. There are also several cube types, i.e. alphanumeric cubes, text cubes with unstructured data and geo cube with geo types, dimensions, measures and hierarchies, so the OLAP area continues a hard challenge after more than 20 years of the seminal paper of Jim Gray et al. in 1997. ... -
9
Framework for text mining, data integration and data analysis. Keywords: ontology and graph alignment, relation mining, warehouse, semantic database integration, bioinformatics, systems biology, microarray, Java.
-
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
10
JDMF is a data mining framework written in Java. Main features include: simplicity, flexibility, many algorithms to choose from, many formats of input (e.g. XML, CSV, JDBC, Java beans) and output data (e.g. XML, plain text info, charts).
-
11
txtkit is a visual text mining tool for exploring large amounts of multilingual texts. It's an multiuser-application which mainly focuses on the process of reading and reasoning as series of decisions and events.
-
12
pySPACE
Signal Processing and Classification Environment in Python using YAML
...Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due to its modular architecture, the software can easily be extended with new processing nodes and more general operations. Large scale empirical investigations can be configured using simple text- configuration files in the YAML format, executed on different (distributed) computing modalities, and evaluated using an interactive graphical user interface. ...
- Previous
- You're on page 1
- Next
