Python Arabic NLP

Question

I'm in the process of assessing the capabilities of the NLTK in processing Arabic text in a research to analyze and extract sentiments.

Question is as follows:

If python and NTLK aren't the tools for this job, what tools would you recommend (if existent)?

Thank you.

Based on research:

NTLK is only capable of stemming Arabic text: Link
Python is capable of handling Arabic text since it supports UTF-8 unicode: Link
Parsing and Lemmatization of Arabic text can be done using: SNLPG (The Stanford Natural Language Processing Group) Statistical Parser: Link

Boris Gorelik · Accepted Answer · 2011-09-13T20:02:28.533

7

A simple google search lead to these links:

Are any of these useful?

edited Sep 13 '11 at 20:02

answered Sep 12 '11 at 14:47

Boris Gorelik

4

Thank you for your contribution. However my question requires an answer based on experience in the topic above. I searched a lot and found many lexical parsers that are able to parse Arabic sentences based on the Penn Arabic Treebank but nothing regarding text analysis and sentiment extraction. I will keep this question unanswered for a while, maybe someone else can contribute some of his knowledge. If not I will consider yours as the correct answer. – Bassem Sep 12 '11 at 17:09
You are welcome. You might consider editing your question to contain all the info you just provided in this comment. – Boris Gorelik Sep 12 '11 at 20:24
@Bassem, I know this is an old post, however I'd like to know whether you have found a solution for extracting sentiments? – Frumples Jun 16 '16 at 19:10
3

@Frumples I haven't found an off the shelf engine, we ended up building a proprietary solution which was never released. – Bassem Jun 16 '16 at 19:11

1 Answers1