TextBlob

4.1
(4 reviews)

TextBlob is a Python (2 and 3) library for processing textual data that provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more.

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Showing 4 TextBlob reviews
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TextBlob review by Abhinav J.
Abhinav J.
Validated Reviewer
Review Source

" TextBlob: Simplified Text Processing"

What do you like best?

TextBlob is a Python library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more. You can also add new models or languages through extensions.

What do you dislike?

Till now I don't find any difficulty using TextBlob library.

Recommendations to others considering the product

I recommend you to use this library. It is quite simple and easy to use. It comes with lots of features including Noun phrase extraction, Part-of-speech tagging, Sentiment analysis, Classification etc.

What business problems are you solving with the product? What benefits have you realized?

I personally use TextBlob for Tokenization which involves splitting text into words and sentences. I also used this library for Classification in Naive Bayes and Decision Tree.

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TextBlob review by Marielle Lynn N.
Marielle Lynn N.
Validated Reviewer
Review Source

"Good for simple analyzation"

What do you like best?

I liked that it had simple setup and ease of use for a newer user.

What do you dislike?

You have to decide which ranges imply each sentiment. Nice if you want full control, but for quick analysis you might just want it done automatically, with a known range.

Recommendations to others considering the product

Very simple, free, easy to set up

What business problems are you solving with the product? What benefits have you realized?

Trying to figure out how people feel about trending topics, and locating potential national incidents/natural disasters by negative sentiment.

What Natural Language Processing (NLP) solution do you use?

Thanks for letting us know!
TextBlob review by G2 Crowd User
G2 Crowd User
Validated Reviewer
Review Source

"Powerful text processing package"

What do you like best?

I have used textblob for sentiment analysis of tweets. I was able to get better analysis with textblob than NLP Vader analyzer. Easy to use as well.

What do you dislike?

I have not faced any issue with the library which I would make me dislike this.

What business problems are you solving with the product? What benefits have you realized?

I have used this to analyze sentiments of tweets

TextBlob review by G2 Crowd User in Education Management
G2 Crowd User in Education Management
Validated Reviewer
Review Source

"Good for analysing the text contents"

What do you like best?

Its sentiments function is good for predicting the one sentence reviews of products or summary products.

What do you dislike?

It fails for complex sentiments like

Human emotions and human sentiments .

What business problems are you solving with the product? What benefits have you realized?

We used textblob package in python for understanding reviews of customer by lexcion based approch.

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