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TextBlob | text processingSentiment analysis, partofspeech tagging | Natural Language Processing library

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kandi X-RAY | TextBlob Summary

TextBlob is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. TextBlob has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install TextBlob' or download it from GitHub, PyPI.
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

kandi-support Support

  • TextBlob has a medium active ecosystem.
  • It has 7825 star(s) with 1030 fork(s). There are 273 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 82 open issues and 151 have been closed. On average issues are closed in 178 days. There are 13 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of TextBlob is 0.7.0

quality kandi Quality

  • TextBlob has 0 bugs and 0 code smells.

securitySecurity

  • TextBlob has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • TextBlob code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.

license License

  • TextBlob is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.

buildReuse

  • TextBlob releases are available to install and integrate.
  • Deployable package is available in PyPI.
  • Build file is available. You can build the component from source.
  • TextBlob saves you 47698 person hours of effort in developing the same functionality from scratch.
  • It has 55759 lines of code, 5370 functions and 286 files.
  • It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA

kandi has reviewed TextBlob and discovered the below as its top functions. This is intended to give you an instant insight into TextBlob implemented functionality, and help decide if they suit your requirements.

  • Calculate the assessment of given words .
  • Return a list of tokens .
  • Parse a string .
  • Return the plural of a noun .
  • Find tags for a given list of tokens .
  • Calculate tk from source code .
  • Find the chunks in a tagged language .
  • Translate a text blob .
  • Convert a penntreebankbank tag to a Universal Token .
  • Parse tokens .

TextBlob Key Features

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

TextBlob Examples and Code Snippets

  • how to pass user defined string in tweet cursor search
  • Telegram bot html parsemode is giving string instead of parsing it
  • sentiment analysis of a dataframe
  • sentiment analysis of a dataframe using if else statements
  • Why my output return in a strip-format and cannot be lemmatized/stemmed in Python?
  • OSError: E053 Could not read config.cfg Spacy on colab
  • "HTTPError: HTTP Error 404: Not Found" while using translation function in TextBlob
  • How to determine 'did' or 'did not' on something
  • Multipoint(df['geometry']) key error from dataframe but key exist. KeyError: 13 geopandas
  • Textblob OCR throws 404 error when trying to translate to another language

how to pass user defined string in tweet cursor search

search = f'#{a} -filter:retweets lang:en
search = f'from:{a} -filter:retweets lang:en
-----------------------
search = f'#{a} -filter:retweets lang:en
search = f'from:{a} -filter:retweets lang:en

Community Discussions

Trending Discussions on TextBlob
  • how to pass user defined string in tweet cursor search
  • Telegram bot html parsemode is giving string instead of parsing it
  • sentiment analysis of a dataframe
  • sentiment analysis of a dataframe using if else statements
  • How to remove unexpected parameter and attribute errors while importing data for sentiment analysis from twitter?
  • How to apply a user-defined function to a column in pandas dataframe?
  • Why my output return in a strip-format and cannot be lemmatized/stemmed in Python?
  • OSError: E053 Could not read config.cfg Spacy on colab
  • "HTTPError: HTTP Error 404: Not Found" while using translation function in TextBlob
  • How to determine 'did' or 'did not' on something
Trending Discussions on TextBlob

QUESTION

how to pass user defined string in tweet cursor search

Asked 2022-Apr-15 at 19:02

Q)how to pass user defined string in tweet_cursor search i am trying to get tweets as per the user by taking input in a and passing variable a please help

currently it is searching for only a literally instead of variable a defined by user

`import textblob import pandas as pd import matplotlib.pyplot as plt import re

api_key = 'xxxxxxxxxxxx'
api_key_secret = 'xxxxxxxxxxx'
access_token = 'xxxxxxxxxxx'
access_token_secret = 'xxxxxxxxxxxxxxxxxxx'

authenticator = tweepy.OAuthHandler(api_key, api_key_secret)
authenticator.set_access_token(access_token, access_token_secret)

api = tweepy.API(authenticator, wait_on_rate_limit=True)

a=input(print("enter player name"))

search= f'#(a) -filter:retweets lang:en'

tweet_cursor = tweepy.Cursor(api.search_tweets, q=search, tweet_mode='extended').items(100)

tweets = [tweet.full_text for tweet in tweet_cursor]

tweets_df = pd.DataFrame(tweets, columns=['Tweets'])

for _, row in tweets_df.iterrows():
    row['tweets'] = re.sub('https\S+', '', row['Tweets'])
    row['tweets'] = re.sub('#\S+', '', row['Tweets'])
    row['tweets'] = re.sub('@\S+', '', row['Tweets'])
    row['tweets'] = re.sub('\\n', '', row['Tweets'])
print(tweets_df)
print(tweets)


tweets_df['Polarity'] = tweets_df['Tweets'].map(lambda tweet: textblob.TextBlob(tweet).sentiment.polarity)
tweets_df['Result'] = tweets_df['Polarity'].map(lambda pol: '+' if pol > 0 else '-')

positive = tweets_df[tweets_df.Result == '+'].count()['Tweets']
negative = tweets_df[tweets_df.Result == '-'].count()['Tweets']

print(positive)
print(negative)
langs = ['Positive', 'Negative']
students = [positive,negative]
a=plt.bar(langs,students)
a[0].set_color('g')
a[1].set_color('r')

plt.xlabel("Tweet Sentiment")
plt.ylabel("No. of Tweets")
plt.title("Sentiment Analysis")
plt.legend

plt.show() `

ANSWER

Answered 2022-Apr-15 at 19:02

In Python f-Strings, you have to use curly braces around the variable.

search = f'#{a} -filter:retweets lang:en

But this will search for retweets containing the hashtag a.

If you want to search from the tweets of the user a, you should use:

search = f'from:{a} -filter:retweets lang:en

Please see the Twitter API documentation for all the search operators.

Source https://stackoverflow.com/questions/71883919

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install TextBlob

You can install using 'pip install TextBlob' or download it from GitHub, PyPI.
You can use TextBlob like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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