Please cc a list.

This is a stop words commonly removed.

http://www.ranks.nl/stopwords

Also you need to look at common words that does not help, and remove as
well (words like you listed).

--Srinath

On Thu, Mar 10, 2016 at 9:43 PM, Yudhanjaya Wijeratne <yudhanj...@wso2.com>
wrote:

> Guys, also please look at filtering out verbs as we discussed on
> Wednesday. Currently there are words such as 'From' 'i'M' 'Like' 'That'
> which add no value.
> If the Stanford NLP filter is running, please keep only nouns and
> adjectives and see what we get.
>
> Thanks,
> Yudha
>
> On Thu, Mar 10, 2016 at 9:40 PM, Dinali Dabarera <din...@wso2.com> wrote:
>
>> Ok :) Then.
>> Thanks!
>>
>> On Thu, Mar 10, 2016 at 8:17 PM, Yasara Dissanayake <yas...@wso2.com>
>> wrote:
>>
>>> even in DAS too :)
>>>
>>> On Thu, Mar 10, 2016 at 8:15 PM, Yasara Dissanayake <yas...@wso2.com>
>>> wrote:
>>>
>>>> Dinaly currently NLP has stopped to find those problem in CEP and DAS
>>>> that tread problem . so please ignore recent data :)
>>>>
>>>> On Thu, Mar 10, 2016 at 8:13 PM, Dinali Dabarera <din...@wso2.com>
>>>> wrote:
>>>>
>>>>> Sir,
>>>>>
>>>>> This is the word cloud we get only after using NLP, But according to
>>>>> my point of view there are lot of unnecessary words  such as IM, GET,
>>>>> BERNIE, TEDCRUZ, IMWITHHER, MAKEAMERICAGREATAGAIN, WE, etc..
>>>>> These words are common and no need to be in the word cloud.
>>>>>
>>>>> Therefore what i think is that we need to filter the stop words and
>>>>> then use NLP , otherwise its useless to keep a wordCloud.
>>>>>
>>>>> Thanks
>>>>>
>>>>> --
>>>>> Dinali Rosemin
>>>>> University of Peradeniya (Computer Engineering)
>>>>> WSO2 Intern
>>>>> 077-0198933
>>>>>
>>>>
>>>>
>>>
>>
>>
>> --
>> Dinali Rosemin
>> University of Peradeniya (Computer Engineering)
>> WSO2 Intern
>> 077-0198933
>>
>
>
>
> --
> Yudhanjaya Wijeratne
> Marketing Officer, WSO2 Inc <http://www.wso2.com>
> +94775496911 | @yudhanjaya
>



-- 
============================
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