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I need a tool to analyze tweets sentiment (positive/neutral/negative). I would like it to be free for students.
So far I found Sentiment140 (http://www.sentiment140.com/) and Sanders-Twitter Sentiment Corpus (http://www.sananalytics.com/lab/twitter-sentiment/). Although both tools provides only training data (I know, I can use them with NLTK (http://nltk.org/)).
But I would like to know if there is any python script or a Java program, that is free distributed and can be download and run to analyze tweets sentiment. I need to analyze huge set of data, so using Sentiment140 REST API is also unsatisfying.
Any ideas?
PS. I'm interested in english sentiment analyse.
You can use TextBlob, a python package to analyze short texts for sentiment offline. There is a trained model included with the package, so you won't need to train one. It should be fine for some projects, but if you want to achieve greater accuracy, consider training your own model on your specific data.
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As a newbee for Simulink, I am fascinated with the model-based design of algorithms in Simulink. So naturally, I am looking for what others have done with Simulink in computer vision area. Of course, I know Mathworks provided with many examples and exchange site with more but I am searching for more models. Is there any online community to share simulink models?
Well Peter Corke provides a handy pair of Matlab/Simulink toolboxes for Robotic Control and Machine Vision. It might not be exactly what you need, but I have found them extremely useful.
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I want to make an offline iPhone application that can grab text from a picture. Can anyone suggest the best library which I can use. I heard ZBAR and ZXING can be used only for barcode reading. Is there any other OCR Libraries for iOS to read text from images. I expect your valuable suggestions as soon as possible.
Thanks in Advance..!
Currenlty offline OCR is possible only with Tesseract
You can get source code here
Here is the good tutorial about how to use Tesseract
Also you can perform OCR on multiple language. You can dowlnoad other language trained data here
You might want to look here. They offer a large variation of language they can detect and i heard only the best from their framework.
You can also test the framework live: live demo
Unfortunately i think it is very expensive to use this framework. But if you want an A1(all my Breaking Bad fans ;-)) framework this might be your best shot.
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I need to use Python to download tweets (probably in the order of the tens of thousands) from past periods. Should I use the streaming API? Do you have any reference to suggest? Thanks
Streaming API do not deal with past periods, you should use search/tweets. Be aware of fact that it returns up to 3200 tweets. Also, from the docs
Search API is not meant to be an exhaustive source of Tweets. Not all
Tweets will be indexed or made available via the search interface.
For the reference, list libraries to deal with API can be found there.
Like they said, you cannot retrieve past tweets from their streaming API. You can try to look for free datasets like these ones (but it is quite difficult that the dataset that you find fits your needs):
http://www.infochimps.com/datasets/twitter-census-developer-tools-mapping-from-twitter-user-search-
http://www.sananalytics.com/lab/twitter-sentiment/
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I need collection of sample images (negative images, or also called background images)
for haar training using opencv. It is written that I need to have a lot of them. About 5000 or 10000. Do you know where to get them?
This site have some haar negatives from various databases. You can download by svn: svn co http://tutorial-haartraining.googlecode.com/svn/trunk/data/negatives/
UPDATE: It is possible that the repository died, so you can go to GitHub. I found one that was exported automatically from google code here.
you can find it anywhere especially in google.. negative images are just images that does not contain your positive images/samples which is the object of interest.. anything that doesn't contain your object of interest can be a negative samples..
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Does anyone know any good resource where example (real) data can be downloaded for experimenting statistics and machine learning techniques such as decision trees etc?
Currently I am studying machine learning techniques and it would be very helpful to me to have real data for evaluating the accuracy of various tools.
If anyone knows of any good resource (perhaps as csv, xls files or any other format) I would be very thankful for a suggestion.
The UCI Machine Learning Archive and the past datasets of the KDD Cup are probably the best known such archives for general data mining. An example of a more specific kind of source is the UCR Time Series Classification/Clustering Page.
Here's an article from DataWrangling.com that lists hundreds of datasets.
On Kaggle you can find some competitions and download the associated datasets.
There is a system that scores your solutions in real time and you'll see your place on the "live leaderboard".
It's a good way of studying machine learning techniques because choosing a "for knowledge" competition you can compare your solution with other participants and discuss strengths and weaknesses of various approaches.
Try my blog, Vellum Information, where I've got several annotated bibliographies curating data sets and data sources:
http://velluminformation.com/2014/03/05/big-data-public-databases-an-annotated-bibliography/.
I've got an annotated bibliography of various data sources that are available. I've also got an annotated bibliography for health data here:
http://velluminformation.com/2012/05/19/free-online-public-data-sources-an-annotated-bibliography/.
Obvious disclosure, this is my blog, so there are other technical things on there as well.