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This python module is a quasi-API to make it easier to authenticate into Google Trends for those who want to squeeze the extra level of functionality out of their data. The advantage of programmatic access is that the data can be automatically trended and merged. It can be snuck into a 9:00 AM daily email to the VP of Marketing so that she knows to ramp up Google Adwords ...
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Openvest is the first site on the Financial Semantic web. This is a dynamic site where features and datasets are added and dropped based on client interest. This is not a site for actual Investment Research, but a place where Investment and IT professionals can share ideas. Openvest Finance: This is a demonstration area where one can access Company SEC EDGAR Filings, ...
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This project is a Python script that parses the CIA’s World Factbook, searches for a specific property, like population, and prints this property for all countries in the database. Type: grepCia.py capital and you’ll get a list of countries and capitals. It works for almost all properties specified in the CIA dataset. The program makes a good start for any CIA data ...
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The TIOBE Programming Community index gives an indication of the popularity of programming languages. The index is updated once a month. The ratings are based on the number of skilled engineers world-wide, courses and third party vendors. The popular search engines Google, MSN, Yahoo!, Wikipedia and YouTube are used to calculate the ratings. Observe that the TIOBE index ...
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This data download is a pre-trained model for a Bayesian classifier. If you do not have experience with Python NLTK, you may not be interested in this data set. A 99.3% accurate part-of-speech tagger trained on the treebank corpus. It is many times faster than the default NLTK tagger and is a fraction of the size (which means less loading time and lower memory ...
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This data download is a pre-trained model for a Bayesian classifier. If you do not have experience with Python NLTK, you may not be interested in this data set. A 98.1% accurate simplified tags part-of-speech tagger trained on the brown corpus. It requires Python and NLTK 2.0 and is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported ...
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This data download is a pre-trained model for a Bayesian classifier. If you do not have experience with Python NLTK, you may not be interested in this data set. A 98.3% accurate Chinese part-of-speech tagger trained on the sinica_treebank corpus. It requires Python & NLTK 2.0 and is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike License: ...