TextBlob | speech tagging , noun phrase extraction | Natural Language Processing library

 by   sloria Python Version: 0.17.1 License: MIT

kandi X-RAY | TextBlob Summary

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 8597 star(s) with 1117 fork(s). There are 270 watchers for this library.
              It had no major release in the last 12 months.
              There are 101 open issues and 155 have been closed. On average issues are closed in 167 days. There are 12 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of TextBlob is 0.17.1

            kandi-Quality Quality

              TextBlob has 0 bugs and 0 code smells.

            kandi-Security Security

              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.

            kandi-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.

            kandi-Reuse Reuse

              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.
            • Parse a string
            • Find prepositions in tokens
            • Count the number of words in the list
            • Find the chunks in the tag - string
            • Extract words from a sentence
            • Tokenize a sentence
            • Normalize a chunk of tags
            • Train the model
            • Analyze the text
            • Parse a sentence
            • Find the version number
            • Detect language
            • Return the format of the file
            • Train a classification
            • Return a copy of the word
            • Analyze text
            • A dictionary of word counts
            • Convert to JSON
            • Return the next row
            • Validate parameter
            • Apply the grammar
            • Translates source to given language
            • Update the classifier
            • Tokenize text
            • Return a list of POS tags in the text blob
            • Extract noun phrases from text
            Get all kandi verified functions for this library.

            TextBlob Key Features

            No Key Features are available at this moment for TextBlob.

            TextBlob Examples and Code Snippets

            threat language parser,Dependencies,TextBlob
            Pythondot img1Lines of Code : 3dot img1License : Permissive (MIT)
            copy iconCopy
                pip install -U textblob
                python -m textblob.download_corpora
                python -m nltk.downloader stopwords
            Text Analysis API (Bottle + TextBlob)
            Pythondot img2Lines of Code : 0dot img2License : Permissive (MIT)
            copy iconCopy
            $ python examples/textblob_example.py
            $ pip install httpie
            $ http POST :5000/api/v1/analyze text="Simple is better"
            HTTP/1.0 200 OK
            Content-Length: 189
            Content-Type: application/json
            Date: Wed, 13 Nov 2013 08:58:40 GMT
            Server: WSGIServer/0.1 Python/2  
            Pythondot img3Lines of Code : 0dot img3License : Permissive (MIT)
            copy iconCopy
            from textblob import TextBlob
            text = '''
            The titular threat of The Blob has always struck me as the ultimate movie
            monster: an insatiably hungry, amoeba-like mass able to penetrate
            virtually any safeguard, capable of--as a doomed doctor chillingly
            marshmallow - textblob example
            Pythondot img4Lines of Code : 23dot img4License : Permissive (MIT License)
            copy iconCopy
            from bottle import route, request, run
            from textblob import TextBlob
            from marshmallow import Schema, fields
            class BlobSchema(Schema):
                polarity = fields.Float()
                subjectivity = fields.Float()
                chunks = fields.List(fields.String, attribute=  
            how to pass user defined string in tweet cursor search
            Pythondot img5Lines of Code : 4dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            search = f'#{a} -filter:retweets lang:en
            search = f'from:{a} -filter:retweets lang:en
            positive, neutral and negative words frequency
            Pythondot img6Lines of Code : 16dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            from textblob import TextBlob
            sent = 'a very simple and good sample'
            pos_word_list = []
            neg_word_list = []
            neu_word_list = []
            for word in sent.split():
                testimonial = TextBlob(word)
                if testimonial.sentiment.polarity >= 0.5:
            sentiment analysis of a dataframe
            Pythondot img7Lines of Code : 2dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            dataset = dataset.explode("adjectives")
            sentiment analysis of a dataframe using if else statements
            Pythondot img8Lines of Code : 14dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            df['sentiment'] = np.select(
                    dataset['polarity'] > 0,
                    dataset['polarity'] == 0
            df['sentiment'] = np.select
            Remove repeating characters from sentence but retain the words meaning
            Pythondot img9Lines of Code : 7dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import re
            from textblob import TextBlob
            from textblob import Word
            rx = re.compile(r'([^\W\d_])\1{2,}')
            print( re.sub(r'[^\W\d_]+', lambda x: Word(rx.sub(r'\1\1', x.group())).correct() if rx.search(x.group()) else x.group(), tweet) )
            # =>
            Why my output return in a strip-format and cannot be lemmatized/stemmed in Python?
            Pythondot img10Lines of Code : 32dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import pandas as pd
            import nltk
            from textblob import TextBlob
            import functools
            import operator
            df = pd.DataFrame({'text': ["spellling", "was", "working cooking listening","studying"]})
            w_tokenizer = nltk.tokenize.Whitespace

            Community Discussions


            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



            Answered 2022-Apr-15 at 19:02

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

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


            Telegram bot html parsemode is giving string instead of parsing it
            Asked 2022-Mar-21 at 17:28

            I want to send a message with the twitter name as text hyperlinked with the tweet. I have been trying to use html parsemode but instead of treating my string as HTML, it is simply returning the entire string. The code that I have written is given below.



            Answered 2022-Mar-21 at 17:12

            First things first: Revoke the bot token that you posted as part of your code snippet.

            About your problem:

            Source https://stackoverflow.com/questions/71557550


            sentiment analysis of a dataframe
            Asked 2022-Mar-17 at 15:53

            i have a project that involves determining the sentiments of a text based on the adjectives. The dataframe to be used is the adjectives column which i derived like so:



            Answered 2022-Mar-17 at 12:43


            sentiment analysis of a dataframe using if else statements
            Asked 2022-Mar-17 at 15:19

            I obtained the adjectives using this function:



            Answered 2022-Mar-17 at 15:11

            Try using np.select to determine the sentiment based on the polarity:

            Source https://stackoverflow.com/questions/71514314


            How to remove unexpected parameter and attribute errors while importing data for sentiment analysis from twitter?
            Asked 2022-Feb-18 at 17:09

            Q) How to solve the following errors

            1)Unexpected parameter: Lang

            2)Unexpected parameter: tweet_node

            3)line 25, in tweets = [tweet.full_text for tweet in tweet_cursor ]

            AttributeError: 'Status' object has no attribute 'full_text'




            Answered 2022-Feb-18 at 17:09
            1. lang=en should be inside of the value of search.
            2. tweet_node should be tweet_mode
            3. The full_text will only exist if the tweet_mode=extended parameter is correct, and the Tweet is more than 140 characters in text length.

            Source https://stackoverflow.com/questions/71177046


            How to apply a user-defined function to a column in pandas dataframe?
            Asked 2022-Feb-07 at 05:57

            I'm working on an NLP task. I defined a function to conduct aspect extraction and sentiment based on the aspect and dependency parsing. The function looks like:



            Answered 2022-Feb-07 at 05:57

            You can use df[col].apply(fn) instead, which will run the function once on each element in a pandas Series. Just need to adjust aspect_sentiment a bit to expect individual sentences instead of a list of sentences.

            Source https://stackoverflow.com/questions/71013957


            Why my output return in a strip-format and cannot be lemmatized/stemmed in Python?
            Asked 2022-Feb-02 at 14:10

            First step is tokenizing the text from dataframe using NLTK. Then, I create a spelling correction using TextBlob. For this, I convert the output from tuple to string. After that, I need to lemmatize/stem (using NLTK). The problem is my output return in a strip-format. Thus, it cannot be lemmatized/stemmed.



            Answered 2022-Feb-02 at 14:10

            I got where the problem is, the dataframes are storing these arrays as a string. So, the lemmatization is not working. Also note that, it is from the spell_eng part.

            I have written a solution, which is a slight modification for your code.

            Source https://stackoverflow.com/questions/70956389


            OSError: E053 Could not read config.cfg Spacy on colab
            Asked 2022-Jan-15 at 11:14

            I want to use SpacyTextBlob in google Colab, when I use the formal installation, I got the below error.



            Answered 2022-Jan-15 at 11:14

            I solve the problem by using this installation guide

            Source https://stackoverflow.com/questions/70720126


            "HTTPError: HTTP Error 404: Not Found" while using translation function in TextBlob
            Asked 2022-Jan-15 at 00:44

            When I try to use translate function in TextBlob library in jupyter notebook, I get:



            Answered 2021-Sep-28 at 19:54

            Textblob library uses Google API for translation functionality in the backend. Google has made some changes in the its API recently. Due to this reason TextBlob's translation feature has stopped working. I noticed that by making some minor changes in translate.py file (in your folder where all TextBlob files are located) as mentioned below, we can get rid of this error:

            original code:

            Source https://stackoverflow.com/questions/69338699


            How to determine 'did' or 'did not' on something
            Asked 2021-Dec-13 at 01:21

            What's the straightforward way to distinguish between this two:

            1. the movie received critical acclaim
            2. the movie did not attain critical acclaim.

            Seems to me 'sentiment analysis' of nlp could do it for me. So I'm using Textblob sentiment analysis. But both sentences' polarity is 0.0.



            Answered 2021-Dec-12 at 18:18

            It requires negation handling capabilities. For example, wink-nlp supports negation handling. You can checkout the code with this example at runkit.

            Source https://stackoverflow.com/questions/70320166

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


            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.


            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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            pip install textblob

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            gh repo clone sloria/TextBlob

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