Re: [Wekalist] (no subject)

[Felipe B. <fel...@gm...>]

You can also try using a low-dimensional representation (e.g., using
word-embeddings) from the AffectiveTweets package.
Cheers,
Felipe

On Tue, Apr 4, 2017 at 11:03 AM, Amal Mahmoud <andow7(a)gmail.com> wrote:

> Thank You
>
> On Mon, Apr 3, 2017 at 11:57 PM, Mark Hall <mhall(a)waikato.ac.nz> wrote:
>
>> You could try a different classifier. Training a MLP on the (potentially)
>> large feature space resulting from vectorizing text will take some time.
>> Try a support vector machine or the multinomial naive Bayes classifier.
>>
>> Cheers,
>> Mark.
>>
>> On 3/04/17, 2:46 PM, "Amal Mahmoud" <wekalist-bounces(a)list.waikato.ac.nz
>> on behalf of andow7(a)gmail.com> wrote:
>>
>>     dear all
>>     I have 19000 tweets.Iam trying to run multilayer perceptron it takes
>> 24 hours till now to build model is that normal?and what I should do to
>> decrease time.
>>     regards
>>
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