Wolfram Language

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Analysieren Sie ein Trending Topic auf Twitter

Stellen Sie eine Verbindung zur Twitter-API her.

In[1]:=
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tw = ServiceConnect["Twitter"]
Out[1]=

Am Vatertag haben wir den Hashtag-Trend #ThingsMyDadWouldSay verfolgt, um die 10 am meisten verwendeten Wörter in 1000 Tweets zu analysieren.

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search = tw["TweetSearch", "Query" -> "#ThingsMyDadWouldSay", MaxItems -> 1000, "Language" -> Entity["Language", "English"]];

Nun verarbeiten wir die Ergebnisse, indem wir unerwünschte Zeichen, Stoppwörter und vulgäre Ausdrücke mithilfe eingebauter Funktionen entfernen. So können wir ein Tortendiagramm der häufigsten Wörter erstellen.

Den kompletten Wolfram Language-Input zeigen
In[3]:=
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FilterTweets[tweets_] := StringReplace[ ToLowerCase@ tweets, {RegularExpression[ "[http]*[s]*[:][\\/\\/][a-z0-9.\\/]+[ ]*"] -> " ", RegularExpression["[rt: ]*[rt ]*[\\@][a-z0-9]*[:]*"] -> " ", RegularExpression[ "[^a-z\\s:]"] | ":" -> " ", "mother" -> "mom "}]; tweets = FilterTweets[#["Text"]] & /@ (Normal@search); processedTweets = DeleteCases[#, ""] & /@ (Function[{wordList}, (If[ Classify["Profanity", wordList], "", wordList]), Listable][ DeleteCases[ DeleteDuplicates@(DeleteStopwords@ToLowerCase@TextWords[#]), "h" | "ht" | "htt" | "http" | "https" | "thingsmydadwouldsay" | "thingsmydadwouldsai" | "dad" | "father" | "say" | "tell" | "don"] & /@ tweets]); significantWords = Take[(Reverse@(SortBy[ Tally@(# & /@ (Flatten[(Tally@# & /@ processedTweets), 1])) /. {{w_, _}, c_} -> {w, c}, Last])), 10]; topWordsQuantities = N[#[[2]]/1000] & /@ significantWords; topWordsNames = First@# & /@ significantWords; pieChart = PieChart[# & /@ topWordsQuantities, ChartLabels -> Placed[topWordsNames, "RadialCallout"], LabelingFunction -> (Row[{NumberForm[ 100 N[#/Total[topWordsQuantities]], {3, 2}], "%"}] &)]
In[4]:=
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