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I need a simple Sentiment Analysis library to use in my ASP.NET application. The library should be able to work on short strings (Twitter tweets have a maximum length of 140 characters long), and only needs to classify the tweets as positive or negative (and perhaps neutral, but not necessary).
I have found many similar questions on Stack Overflow, but haven't managed to find a class library in C# that quite fits my requirements.
I found this really cool webservice called uClassify that does exactly what I need, thanks to the post at Algorithm to determine how positive or negative a statement/text is.
But I want a library, not a web service. I will be processing thousands of tweets and the overhead of making HttpRequests is too much.
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I'm adding statistical processing to a C# app using rdotnet, which looks ideal for our current needs. Basically, the app generates lots of different time series, and we use R to calculate distributions, quantiles etc.
What would be great for a future version would be if we could add an interactive R console to the app, so that the user can perform further ad hoc processing on the data within the app environment.
Initial research hasn't thrown up any pointer or examples. Can anyone suggest a way forward ?
Thanks.
Capturing the R Console I/O and show it in a console is possible, but making it interactive may not be possible. You will find more details in this discussion post and the links it has to other posts. The post also has alternate solutions proposed; basically where the R console is the main application and loads/shows your C# application.
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This is a bit of a reach, but i figured its worth a shot. I have been tasked with making a very large program localizable which initially was not written to support it. That means literal strings are everywhere throughout the 387 code files for the project.
Does anyone know of a tool which can generate a list of localizable strings that have the possibility to be displayed on the GUI? There is an error log with literal strings as well that is written to, and I do not want to translate those.
I know its a long shot!
ReSharper provides tools to find localizable strings and more easily move them to resource files.
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I'm working on a machine learning library (as a hobby project) and having implemented linear regression, I started investigating non-linear, polynomial regression. Representing an univariate polynomial in code is not a problem whatsoever, but what about the multivariate polynomials (more than one indeterminate)? I'm having hard time finding any standards for representing them in code.
Example:
y = 1 + 2*x1 + 3*x2 + 4*x1*x2 + 5*x1^2 + 6*x2^2
Is there anything like this (a common standard or even a library, which standards I could follow) and I simply can't find it?
The reason why I'm asking is not to implement my own standard if there is one already.
It's been a while since I asked this question so I decided to write my own library for representing and calculating values of simple polynomials, which you can find here:
https://bitbucket.org/piotrjustyna/netpolynomial
I appreciate your feedback!
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I'm looking to parse a C# code base within a Java app. I need to know where classes, methods, members, etc are defined (both filename and line number). What are the best tools/libraries to do this.
It looks like the Doxygen executable could be invoked and then its output XML files could be read.
Are there any other solutions out there?
I'm doing this in Java because its for a specialized application.
From here, there is a CSharp Grammer for ANTLR. I don't know how complete it is, but it includes a preprocessor, parser and lexer.
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Have you seen library for flexible working with terminal(Unix like)?
I want to implement autocompletion, history, help params in my console application same operations you can see in the Unix terminals.
C#, Mono library.
Thanks.
Here you go, GNU Readline support for Mono, Mono-Readline.
See also, Is there a .Net library similar to GNU readline?