Changing Queryset into String

[Lim Kai Wey]

Greetings everyone,

I would like to ask if anyone knows how to convert my  queryset into string or if there is a better approach to what I am trying to accomplish. In theory, I am trying to assign all the text into a variable and tokenize the whole string so that I can find the top 10 most common word.

Following is the snippet of my code:

Models.py

class Tweet(models.Model):

    tweet_id = models.BigIntegerField()

    text = models.TextField()

    polarity = models.DecimalField(decimal_places=5,max_digits=6,null=True)

    keyword = models.ForeignKey(Keyword, on_delete=models.CASCADE)

    country = models.CharField(max_length=255,null=True)

    stored_at = models.DateTimeField(editable= False)

    def __str__(self):

        return self.text

Views.py

def tweet_visualizer(request, word = None):

    if(word == None):

        num_comments = Tweet.objects.all().count()

        latest_comments = Tweet.objects.all().order_by('-stored_at')[:6]

        all_tweets = Tweet.objects.all()

        all_comments = all_tweets.__str__()

        tokenized_text = word_tokenize(all_comments)

        fdist = FreqDist(tokenized_text)

        top_10_common = fdist.most_common(10)

    else:

        num_comments = Tweet.objects.filter(keyword__keyword=word).count()

        latest_comments = Tweet.objects.filter(keyword__keyword=word).order_by('-stored_at')[:6]

        all_tweets = Tweet.objects.filter(keyword__keyword=word)

        all_comments= all_tweets.__str__()

        tokenized_text = word_tokenize(all_comments)

        fdist = FreqDist(tokenized_text)

        top_10_common = fdist.most_common(10)

My Current Output:

<QuerySet [<Tweet: Just each machine team recognize.>, <Tweet: Card shoulder option majority with green conference.>, <Tweet: Sometimes feel news chance either.>, <Tweet: Second pull so across drug term.>, <Tweet: Result wife my sport without.>, <Tweet: Modern pick indeed wall north.>, <Tweet: Standard sense each might loss.>, <Tweet: Wish sport small.>, <Tweet: Feel shoulder two go.>, <Tweet: Social state just perhaps.>, <Tweet: Daughter son although development house.>, <Tweet: Before political Democrat during pass.>, <Tweet: Natural development story music and eye water.>, <Tweet: Yourself agency school since what benefit force or.>, <Tweet: Join floor gun do.>, <Tweet: Scientist here very at risk computer.>, <Tweet: Maybe leave seek on big policy.>, <Tweet: Activity close defense should personal.>

My Desired Output:

Just each machine team recognize Card shoulder option majority with green conference Sometimes feel news chance either ... etc

Thank you in advance for anyone who can help me. I really do appreciate it! 

Sincerely,

Kai Wey

[mohamed Alisaleh]

aborabieamohame

[mohamed Alisaleh]

Github.com

[mohamed Alisaleh]