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machine learning - Sentiment Analysis model for Spanish By using our site, you acknowledge that you have read and understand our Cookie Policy, Privacy Policy, and our Terms of Service. Sentiment Analysis model for Spanish Ask Question up vote 3 down vote favorite I barely know about Data Analysis tools and techniques, so bare with me if I'm asking something too trivial. I'm looking for a Sentiment Analysis tool to process comments in Spanish. Is there a model/tool that already works with Spanish? I'm language agnostic so it does not matter if it's a Java, Python or even Go code. machine-learning nlp social-network-analysis sentiment-analysis share|improve this question edited May 10 '17 at 4:00 VividD asked Aug 4 '15 at 22:15 mcKain Out of curiosity, have you tried translating to English then using English sentiment analysis? add a comment | 3 Answers active oldest votes up vote 3 down vote The Indico.io API supports Spanish (and Chinese (Mandarin), Japanese, Italian, French, Russian, Arabic, German, English). eg in Python: share|improve this answer A.

SymPy Caffe | Deep Learning Framework Natural Language Toolkit — NLTK 3.2.4 documentation Matplotlib: Python plotting — Matplotlib 2.0.2 documentation 5. Data Structures This chapter describes some things you’ve learned about already in more detail, and adds some new things as well. 5.1. More on Lists The list data type has some more methods. list.append(x) Add an item to the end of the list. list.extend(iterable) Extend the list by appending all the items from the iterable. list.insert(i, x) Insert an item at a given position. list.remove(x) Remove the first item from the list whose value is equal to x. list.pop([i]) Remove the item at the given position in the list, and return it. list.clear() Remove all items from the list. list.index(x[, start[, end]]) Return zero-based index in the list of the first item whose value is equal to x. The optional arguments start and end are interpreted as in the slice notation and are used to limit the search to a particular subsequence of the list. list.count(x) Return the number of times x appears in the list. list.sort(*, key=None, reverse=False) list.reverse() Reverse the elements of the list in place. list.copy() 5.1.1. 5.2.

random — Generate pseudo-random numbers — Python v3.0.1 documentation This module implements pseudo-random number generators for various distributions. For integers, uniform selection from a range. For sequences, uniform selection of a random element, a function to generate a random permutation of a list in-place, and a function for random sampling without replacement. On the real line, there are functions to compute uniform, normal (Gaussian), lognormal, negative exponential, gamma, and beta distributions. For generating distributions of angles, the von Mises distribution is available. Almost all module functions depend on the basic function random(), which generates a random float uniformly in the semi-open range [0.0, 1.0). The functions supplied by this module are actually bound methods of a hidden instance of the random.Random class. Class Random can also be subclassed if you want to use a different basic generator of your own devising: in that case, override the random(), seed(), getstate(), and setstate(). Bookkeeping functions: random.seed([x]) M.