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| \n", " | UserName | \n", "ScreenName | \n", "Location | \n", "TweetAt | \n", "OriginalTweet | \n", "Sentiment | \n", "
|---|---|---|---|---|---|---|
| 0 | \n", "1 | \n", "44953 | \n", "NYC | \n", "02-03-2020 | \n", "TRENDING: New Yorkers encounter empty supermar... | \n", "Extremely Negative | \n", "
| 1 | \n", "2 | \n", "44954 | \n", "Seattle, WA | \n", "02-03-2020 | \n", "When I couldn't find hand sanitizer at Fred Me... | \n", "Positive | \n", "
| 2 | \n", "3 | \n", "44955 | \n", "NaN | \n", "02-03-2020 | \n", "Find out how you can protect yourself and love... | \n", "Extremely Positive | \n", "
| 3 | \n", "4 | \n", "44956 | \n", "Chicagoland | \n", "02-03-2020 | \n", "#Panic buying hits #NewYork City as anxious sh... | \n", "Negative | \n", "
| 4 | \n", "5 | \n", "44957 | \n", "Melbourne, Victoria | \n", "03-03-2020 | \n", "#toiletpaper #dunnypaper #coronavirus #coronav... | \n", "Neutral | \n", "
| ... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "
| 3793 | \n", "3794 | \n", "48746 | \n", "Israel ?? | \n", "16-03-2020 | \n", "Meanwhile In A Supermarket in Israel -- People... | \n", "Positive | \n", "
| 3794 | \n", "3795 | \n", "48747 | \n", "Farmington, NM | \n", "16-03-2020 | \n", "Did you panic buy a lot of non-perishable item... | \n", "Negative | \n", "
| 3795 | \n", "3796 | \n", "48748 | \n", "Haverford, PA | \n", "16-03-2020 | \n", "Asst Prof of Economics @cconces was on @NBCPhi... | \n", "Neutral | \n", "
| 3796 | \n", "3797 | \n", "48749 | \n", "NaN | \n", "16-03-2020 | \n", "Gov need to do somethings instead of biar je r... | \n", "Extremely Negative | \n", "
| 3797 | \n", "3798 | \n", "48750 | \n", "Arlington, Virginia | \n", "16-03-2020 | \n", "I and @ForestandPaper members are committed to... | \n", "Extremely Positive | \n", "
3798 rows × 6 columns
\n", "| \n", " | OriginalTweet | \n", "Sentiment | \n", "
|---|---|---|
| 0 | \n", "TRENDING: New Yorkers encounter empty supermar... | \n", "Extremely Negative | \n", "
| 1 | \n", "When I couldn't find hand sanitizer at Fred Me... | \n", "Positive | \n", "
| 2 | \n", "Find out how you can protect yourself and love... | \n", "Extremely Positive | \n", "
| 3 | \n", "#Panic buying hits #NewYork City as anxious sh... | \n", "Negative | \n", "
| 4 | \n", "#toiletpaper #dunnypaper #coronavirus #coronav... | \n", "Neutral | \n", "
| \n", " | OriginalTweet | \n", "Sentiment | \n", "num_words | \n", "num_unique_words | \n", "num_chars | \n", "num_punctuations | \n", "Sentiment_hot | \n", "
|---|---|---|---|---|---|---|---|
| 0 | \n", "TRENDING: New Yorkers encounter empty supermar... | \n", "Extremely Negative | \n", "23 | \n", "23 | \n", "228 | \n", "21 | \n", "0.0 | \n", "
| 1 | \n", "When I couldn't find hand sanitizer at Fred Me... | \n", "Positive | \n", "30 | \n", "29 | \n", "193 | \n", "17 | \n", "3.0 | \n", "
| 2 | \n", "Find out how you can protect yourself and love... | \n", "Extremely Positive | \n", "13 | \n", "13 | \n", "73 | \n", "3 | \n", "4.0 | \n", "
| \n", " | OriginalTweet | \n", "Sentiment | \n", "num_words | \n", "num_unique_words | \n", "num_chars | \n", "num_punctuations | \n", "Sentiment_hot | \n", "TweetPunct | \n", "
|---|---|---|---|---|---|---|---|---|
| 0 | \n", "TRENDING: New Yorkers encounter empty supermar... | \n", "Extremely Negative | \n", "23 | \n", "23 | \n", "228 | \n", "21 | \n", "0.0 | \n", "TRENDING New Yorkers encounter empty supermark... | \n", "
| 1 | \n", "When I couldn't find hand sanitizer at Fred Me... | \n", "Positive | \n", "30 | \n", "29 | \n", "193 | \n", "17 | \n", "3.0 | \n", "When I couldnt find hand sanitizer at Fred Mey... | \n", "
| 2 | \n", "Find out how you can protect yourself and love... | \n", "Extremely Positive | \n", "13 | \n", "13 | \n", "73 | \n", "3 | \n", "4.0 | \n", "Find out how you can protect yourself and love... | \n", "
| 3 | \n", "#Panic buying hits #NewYork City as anxious sh... | \n", "Negative | \n", "37 | \n", "37 | \n", "318 | \n", "24 | \n", "1.0 | \n", "Panic buying hits NewYork City as anxious shop... | \n", "
| 4 | \n", "#toiletpaper #dunnypaper #coronavirus #coronav... | \n", "Neutral | \n", "26 | \n", "24 | \n", "252 | \n", "18 | \n", "2.0 | \n", "toiletpaper dunnypaper coronavirus coronavirus... | \n", "
| \n", " | OriginalTweet | \n", "Sentiment | \n", "num_words | \n", "num_unique_words | \n", "num_chars | \n", "num_punctuations | \n", "Sentiment_hot | \n", "TweetPunct | \n", "TweetTokenized | \n", "
|---|---|---|---|---|---|---|---|---|---|
| 0 | \n", "TRENDING: New Yorkers encounter empty supermar... | \n", "Extremely Negative | \n", "23 | \n", "23 | \n", "228 | \n", "21 | \n", "0.0 | \n", "TRENDING New Yorkers encounter empty supermark... | \n", "[trending, new, yorkers, encounter, empty, sup... | \n", "
| 1 | \n", "When I couldn't find hand sanitizer at Fred Me... | \n", "Positive | \n", "30 | \n", "29 | \n", "193 | \n", "17 | \n", "3.0 | \n", "When I couldnt find hand sanitizer at Fred Mey... | \n", "[when, i, couldnt, find, hand, sanitizer, at, ... | \n", "
| 2 | \n", "Find out how you can protect yourself and love... | \n", "Extremely Positive | \n", "13 | \n", "13 | \n", "73 | \n", "3 | \n", "4.0 | \n", "Find out how you can protect yourself and love... | \n", "[find, out, how, you, can, protect, yourself, ... | \n", "
| 3 | \n", "#Panic buying hits #NewYork City as anxious sh... | \n", "Negative | \n", "37 | \n", "37 | \n", "318 | \n", "24 | \n", "1.0 | \n", "Panic buying hits NewYork City as anxious shop... | \n", "[panic, buying, hits, newyork, city, as, anxio... | \n", "
| 4 | \n", "#toiletpaper #dunnypaper #coronavirus #coronav... | \n", "Neutral | \n", "26 | \n", "24 | \n", "252 | \n", "18 | \n", "2.0 | \n", "toiletpaper dunnypaper coronavirus coronavirus... | \n", "[toiletpaper, dunnypaper, coronavirus, coronav... | \n", "
| \n", " | OriginalTweet | \n", "Sentiment | \n", "num_words | \n", "num_unique_words | \n", "num_chars | \n", "num_punctuations | \n", "Sentiment_hot | \n", "TweetPunct | \n", "TweetTokenized | \n", "TweetNoStop | \n", "
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | \n", "TRENDING: New Yorkers encounter empty supermar... | \n", "Extremely Negative | \n", "23 | \n", "23 | \n", "228 | \n", "21 | \n", "0.0 | \n", "TRENDING New Yorkers encounter empty supermark... | \n", "[trending, new, yorkers, encounter, empty, sup... | \n", "[trending, new, yorkers, encounter, empty, sup... | \n", "
| 1 | \n", "When I couldn't find hand sanitizer at Fred Me... | \n", "Positive | \n", "30 | \n", "29 | \n", "193 | \n", "17 | \n", "3.0 | \n", "When I couldnt find hand sanitizer at Fred Mey... | \n", "[when, i, couldnt, find, hand, sanitizer, at, ... | \n", "[couldnt, find, hand, sanitizer, fred, meyer, ... | \n", "
| 2 | \n", "Find out how you can protect yourself and love... | \n", "Extremely Positive | \n", "13 | \n", "13 | \n", "73 | \n", "3 | \n", "4.0 | \n", "Find out how you can protect yourself and love... | \n", "[find, out, how, you, can, protect, yourself, ... | \n", "[find, protect, loved, ones, coronavirus] | \n", "
| 3 | \n", "#Panic buying hits #NewYork City as anxious sh... | \n", "Negative | \n", "37 | \n", "37 | \n", "318 | \n", "24 | \n", "1.0 | \n", "Panic buying hits NewYork City as anxious shop... | \n", "[panic, buying, hits, newyork, city, as, anxio... | \n", "[panic, buying, hits, newyork, city, anxious, ... | \n", "
| 4 | \n", "#toiletpaper #dunnypaper #coronavirus #coronav... | \n", "Neutral | \n", "26 | \n", "24 | \n", "252 | \n", "18 | \n", "2.0 | \n", "toiletpaper dunnypaper coronavirus coronavirus... | \n", "[toiletpaper, dunnypaper, coronavirus, coronav... | \n", "[toiletpaper, dunnypaper, coronavirus, coronav... | \n", "
| \n", " | OriginalTweet | \n", "Sentiment | \n", "num_words | \n", "num_unique_words | \n", "num_chars | \n", "num_punctuations | \n", "Sentiment_hot | \n", "TweetPunct | \n", "TweetTokenized | \n", "TweetNoStop | \n", "TweetStemmed | \n", "
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | \n", "TRENDING: New Yorkers encounter empty supermar... | \n", "Extremely Negative | \n", "23 | \n", "23 | \n", "228 | \n", "21 | \n", "0.0 | \n", "TRENDING New Yorkers encounter empty supermark... | \n", "[trending, new, yorkers, encounter, empty, sup... | \n", "[trending, new, yorkers, encounter, empty, sup... | \n", "[trend, new, yorker, encount, empti, supermark... | \n", "
| 1 | \n", "When I couldn't find hand sanitizer at Fred Me... | \n", "Positive | \n", "30 | \n", "29 | \n", "193 | \n", "17 | \n", "3.0 | \n", "When I couldnt find hand sanitizer at Fred Mey... | \n", "[when, i, couldnt, find, hand, sanitizer, at, ... | \n", "[couldnt, find, hand, sanitizer, fred, meyer, ... | \n", "[couldnt, find, hand, sanit, fred, meyer, turn... | \n", "
| 2 | \n", "Find out how you can protect yourself and love... | \n", "Extremely Positive | \n", "13 | \n", "13 | \n", "73 | \n", "3 | \n", "4.0 | \n", "Find out how you can protect yourself and love... | \n", "[find, out, how, you, can, protect, yourself, ... | \n", "[find, protect, loved, ones, coronavirus] | \n", "[find, protect, love, one, coronaviru] | \n", "
| 3 | \n", "#Panic buying hits #NewYork City as anxious sh... | \n", "Negative | \n", "37 | \n", "37 | \n", "318 | \n", "24 | \n", "1.0 | \n", "Panic buying hits NewYork City as anxious shop... | \n", "[panic, buying, hits, newyork, city, as, anxio... | \n", "[panic, buying, hits, newyork, city, anxious, ... | \n", "[panic, buy, hit, newyork, citi, anxiou, shopp... | \n", "
| 4 | \n", "#toiletpaper #dunnypaper #coronavirus #coronav... | \n", "Neutral | \n", "26 | \n", "24 | \n", "252 | \n", "18 | \n", "2.0 | \n", "toiletpaper dunnypaper coronavirus coronavirus... | \n", "[toiletpaper, dunnypaper, coronavirus, coronav... | \n", "[toiletpaper, dunnypaper, coronavirus, coronav... | \n", "[toiletpap, dunnypap, coronaviru, coronavirusa... | \n", "
| \n", " | OriginalTweet | \n", "Sentiment | \n", "num_words | \n", "num_unique_words | \n", "num_chars | \n", "num_punctuations | \n", "Sentiment_hot | \n", "TweetPunct | \n", "TweetTokenized | \n", "TweetNoStop | \n", "TweetStemmed | \n", "TweetLemmatized | \n", "
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | \n", "TRENDING: New Yorkers encounter empty supermar... | \n", "Extremely Negative | \n", "23 | \n", "23 | \n", "228 | \n", "21 | \n", "0.0 | \n", "TRENDING New Yorkers encounter empty supermark... | \n", "[trending, new, yorkers, encounter, empty, sup... | \n", "[trending, new, yorkers, encounter, empty, sup... | \n", "[trend, new, yorker, encount, empti, supermark... | \n", "[trending, new, yorkers, encounter, empty, sup... | \n", "
| 1 | \n", "When I couldn't find hand sanitizer at Fred Me... | \n", "Positive | \n", "30 | \n", "29 | \n", "193 | \n", "17 | \n", "3.0 | \n", "When I couldnt find hand sanitizer at Fred Mey... | \n", "[when, i, couldnt, find, hand, sanitizer, at, ... | \n", "[couldnt, find, hand, sanitizer, fred, meyer, ... | \n", "[couldnt, find, hand, sanit, fred, meyer, turn... | \n", "[couldnt, find, hand, sanitizer, fred, meyer, ... | \n", "
| 2 | \n", "Find out how you can protect yourself and love... | \n", "Extremely Positive | \n", "13 | \n", "13 | \n", "73 | \n", "3 | \n", "4.0 | \n", "Find out how you can protect yourself and love... | \n", "[find, out, how, you, can, protect, yourself, ... | \n", "[find, protect, loved, ones, coronavirus] | \n", "[find, protect, love, one, coronaviru] | \n", "[find, protect, loved, one, coronavirus] | \n", "
| 3 | \n", "#Panic buying hits #NewYork City as anxious sh... | \n", "Negative | \n", "37 | \n", "37 | \n", "318 | \n", "24 | \n", "1.0 | \n", "Panic buying hits NewYork City as anxious shop... | \n", "[panic, buying, hits, newyork, city, as, anxio... | \n", "[panic, buying, hits, newyork, city, anxious, ... | \n", "[panic, buy, hit, newyork, citi, anxiou, shopp... | \n", "[panic, buying, hit, newyork, city, anxious, s... | \n", "
| 4 | \n", "#toiletpaper #dunnypaper #coronavirus #coronav... | \n", "Neutral | \n", "26 | \n", "24 | \n", "252 | \n", "18 | \n", "2.0 | \n", "toiletpaper dunnypaper coronavirus coronavirus... | \n", "[toiletpaper, dunnypaper, coronavirus, coronav... | \n", "[toiletpaper, dunnypaper, coronavirus, coronav... | \n", "[toiletpap, dunnypap, coronaviru, coronavirusa... | \n", "[toiletpaper, dunnypaper, coronavirus, coronav... | \n", "
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| 0 | \n", "TRENDING: New Yorkers encounter empty supermar... | \n", "Extremely Negative | \n", "23 | \n", "23 | \n", "228 | \n", "21 | \n", "0.0 | \n", "TRENDING New Yorkers encounter empty supermark... | \n", "[trending, new, yorkers, encounter, empty, sup... | \n", "[trending, new, yorkers, encounter, empty, sup... | \n", "[trend, new, yorker, encount, empti, supermark... | \n", "[trending, new, yorkers, encounter, empty, sup... | \n", "[(0, 1), (1, 1), (2, 1), (3, 1), (4, 1), (5, 1... | \n", "
| 1 | \n", "When I couldn't find hand sanitizer at Fred Me... | \n", "Positive | \n", "30 | \n", "29 | \n", "193 | \n", "17 | \n", "3.0 | \n", "When I couldnt find hand sanitizer at Fred Mey... | \n", "[when, i, couldnt, find, hand, sanitizer, at, ... | \n", "[couldnt, find, hand, sanitizer, fred, meyer, ... | \n", "[couldnt, find, hand, sanit, fred, meyer, turn... | \n", "[couldnt, find, hand, sanitizer, fred, meyer, ... | \n", "[(20, 1), (21, 1), (22, 1), (23, 1), (24, 1), ... | \n", "
| 2 | \n", "Find out how you can protect yourself and love... | \n", "Extremely Positive | \n", "13 | \n", "13 | \n", "73 | \n", "3 | \n", "4.0 | \n", "Find out how you can protect yourself and love... | \n", "[find, out, how, you, can, protect, yourself, ... | \n", "[find, protect, loved, ones, coronavirus] | \n", "[find, protect, love, one, coronaviru] | \n", "[find, protect, loved, one, coronavirus] | \n", "[(22, 1), (25, 1), (35, 1), (36, 1), (37, 1)] | \n", "
| 3 | \n", "#Panic buying hits #NewYork City as anxious sh... | \n", "Negative | \n", "37 | \n", "37 | \n", "318 | \n", "24 | \n", "1.0 | \n", "Panic buying hits NewYork City as anxious shop... | \n", "[panic, buying, hits, newyork, city, as, anxio... | \n", "[panic, buying, hits, newyork, city, anxious, ... | \n", "[panic, buy, hit, newyork, citi, anxiou, shopp... | \n", "[panic, buying, hit, newyork, city, anxious, s... | \n", "[(13, 1), (15, 1), (22, 1), (38, 1), (39, 1), ... | \n", "
| 4 | \n", "#toiletpaper #dunnypaper #coronavirus #coronav... | \n", "Neutral | \n", "26 | \n", "24 | \n", "252 | \n", "18 | \n", "2.0 | \n", "toiletpaper dunnypaper coronavirus coronavirus... | \n", "[toiletpaper, dunnypaper, coronavirus, coronav... | \n", "[toiletpaper, dunnypaper, coronavirus, coronav... | \n", "[toiletpap, dunnypap, coronaviru, coronavirusa... | \n", "[toiletpaper, dunnypaper, coronavirus, coronav... | \n", "[(22, 1), (36, 1), (42, 2), (61, 1), (62, 1), ... | \n", "
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\n", "DecisionTreeClassifier(random_state=2)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
DecisionTreeClassifier(random_state=2)