hi dinali, using nlp all those words are filter. From nlp all those words are identified as tag names and will not appear in cloud. Reason of appearing that snap is when you get snap I have temporary commented it for some testing.
regards, Yasara On Fri, Mar 11, 2016 at 8:21 AM, Dinali Dabarera <[email protected]> wrote: > Yasara, This is the list of nouns which I suggest to remove. > > realdonaldtrump > donaldtrump > trump > bernie > berniesanders > sanders > ted > tedcruz > cruz > hillary > clinton > hillaryclinton > imwithher > feelthebern > trumpforamerica > hillary2016 > bernie2016 > trump2016 > makeamericagreatagain > election2016 > uselection > > On Fri, Mar 11, 2016 at 4:49 AM, Srinath Perera <[email protected]> wrote: > >> 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 < >> [email protected]> 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 <[email protected]> >>> wrote: >>> >>>> Ok :) Then. >>>> Thanks! >>>> >>>> On Thu, Mar 10, 2016 at 8:17 PM, Yasara Dissanayake <[email protected]> >>>> wrote: >>>> >>>>> even in DAS too :) >>>>> >>>>> On Thu, Mar 10, 2016 at 8:15 PM, Yasara Dissanayake <[email protected]> >>>>> 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 <[email protected]> >>>>>> 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 >>> >> >> >> >> -- >> ============================ >> Blog: http://srinathsview.blogspot.com twitter:@srinath_perera >> Site: http://people.apache.org/~hemapani/ >> Photos: http://www.flickr.com/photos/hemapani/ >> Phone: 0772360902 >> > > > > -- > Dinali Rosemin > University of Peradeniya (Computer Engineering) > WSO2 Intern > 077-0198933 >
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