TextBlob

TextBlob natural language processing software helps users to process textual data and perform everyday NLP tasks.

Overview

TextBlob natural language processing software is a Python library that offers users a simple API for NLP tasks like parts of speech tagging, sentiment analysis, translation, noun phrase extraction, and classification. Built based on NLTK and pattern libraries, users can use this software for AI robots, machine translators, image captioning, advanced search engines, and chatbots. This software is a combination of different libraries and functions, including Google translator and NLTK. Plus, users need to download the NLTK corpora when installing the TextBlob natural language processing software.

Before users can use this software to perform different kinds of text processing, they need to convert any string to a TextBlob object and call its functions to do a particular task. Users can use the tokenization capability of the TextBlob natural language processing software to break down the text into a sequence of tokens, which can be sentences or words for further analysis. This software allows users to perform parts of speech tagging, which involves labeling words to identify its function in a given context, and they can use the tags' capability to do this. Besides, users can use the TextBlob natural language processing software to determine the emotion of a text; this means users can decide their positive, neutral, or negative nature with ease.

TextBlob natural language processing software enables users to convert text into a singular or plural form seamlessly, and it allows them to extract phrases that contain nouns. Users can use this software to change the grammatical meaning of a word, and they can use it to convert a word to its root dictionary form. Additionally, this software enables users to perform language modeling, spellings correction, and language detection and translation.

Product Details

TextBlob natural language processing software enables users to perform sentiment analysis on textual data. Users can determine the opinion or emotion that a text holds, and the sentiment function of this software offers users a polarity and subjectivity values after analysis. The polarity value ranges from -1 to 1, where -1 indicates it is a negative statement, and the positive value means it is a positive statement. The subjectivity property ranges from 0 to 1, where lower figures show that the account is subjective, and higher numbers show the objectivity. Plus, companies can use this software to find out what people think about their business with ease.

TextBlob natural language processing software allows users to perform spelling corrections on their text data seamlessly. This software provides users with a spelling corrector with high accuracy at a processing speed of close to 10 words per second, and users use this capability to normalize their text data. Users can calculate the count and probability of each word in a document. With the Google Translate API, users can detect and translate languages on this software. TextBlob natural language processing software supports over 20 global languages like Hindi, Icelandic, Yiddish, Ukrainian, Thai, Greek, Haitian Creole, Norwegian, Latin, Korean, French, Arabic, Filipino, Swahili, Italian, Spanish, and German.

TextBlob natural language processing software enables users to perform text classification modeling. This software provides users with a custom classifier that they can import rapidly to create a basic classification model. Users can use the TextBlob natural language processing software to check the accuracy of their classifiers on the dataset, and they can find out the sentiment on the text with ease. This software supports standard file formats like TSV, JSON, and CSV, and users can use the feature extractor to find the training set contained in a document. Additionally, the TextBlob natural language processing software allows users to carry out data cleaning and preprocessing seamlessly.

TextBlob natural language processing software allows users to use extensions to add new languages and custom models. Users can install these extensions from the PyPI, and this software offers users a German and French language extension. This software provides users with a part of speech tagger extension based on the Averaged Perceptron, and it gives a factory where users can create TextBlobs that have the same models. Also, TextBlob natural language processing software allows users to use their API to specify the different algorithms they want to use.

TextBlob natural language processing software enables users to create short summaries of text data with ease. Users can use this software to add characters to a word's base form to express grammatical meanings, and they can reduce the text data to its dictionary form seamlessly. TextBlob natural language processing software allows users to combine multiple words for language modeling. Plus, the conversion capability of this software enables users to convert text into singular and plural forms.

TextBlob natural language processing software allows users to split large paragraphs into words or sentences. This software enables users to perform tokenization by creating a TextBlob object and calling its functions to perform a particular task. Users can use the different attributes of this software to tokenize the TextBlob package imported. TextBlob natural language processing software allows users to analyze the who in a sentence by performing noun phrase extraction. Besides, users can use this process to extract all phrases that have a noun with ease.

TextBlob natural language processing software enables users to tag parts of speech quickly. This software offers users two different types of parts of speech tagger; the PatternTagger that uses the same implementation as the pattern library and the NLTKTagger that uses NLTK's TreeBank tagger. Users can choose any of these taggers to use, but this software uses PatternTagger by default. Additionally, TextBlobnatural language processing software allows users to label words to identify their functions in different contexts, and they can use their tagging capability to do this.

Recap

TextBlobnatural language processing software is a Python 2 and 3 library that helps users to process textual data. This software offers users an API for seamless, natural language processing tasks like noun phrase extraction, classification, part of speech tagging, sentiment analysis, and translation. Both beginners and experts can use this software with ease, and they can use it to create complex systems like chatbots, advanced search engines, and machine translators.