In this tutorial, you'll learn how to work with Python's Natural Language Toolkit (NLTK) to process and analyze text. You'll also learn how to perform sentiment analysis with built-in as well as custom classifiers!
Stocksent is a Python library for sentiment analysis of various tickers from the latest news from trusted sources. It also has options for plotting results. Installation Use the package manager pip to install stocksent. pip install stocksent Usage Get Sentiment of single stock from stocksent impor...
TextBlobTextBlob is a python library for Natural Language Processing (NLP). TextBlob actively used Natural Language ToolKit (NLTK) to achieve its tasks. TextBlob is a simple library which supports complex analysis and operations on textual data. TextBlob returns polarity and subjectivity of a sentence...
First, you'll use Tweepy, an easy-to-use Python library for getting tweets mentioning #NFTs using the Twitter API. Then, you will use a sentiment analysis model from the 🤗Hub to analyze these tweets. Finally, you will create some visualizations to explore the results and find...
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Word2Vec Example in Python In this section we show how one might use word vectors in a sentiment classification task. Thegensimlibrary comes standard with the Anaconda distribution or can be installed using pip. From there you can train word vectors on your own corpus (a dataset of text docu...
nltk: This is the Natural Language Toolkit library used for working with human language data in Python. SentimentIntensityAnalyzer: This is a specific tool from NLTK used for determining the sentiment of a piece of text. ssl: This module provides access to Transport Layer Security (encryption) ...
Organizations who decide they want to deploy sentiment analysis to better understand their customers have two options for how they can go about it: either purchase an existing tool or build one of their own. Businesses opting to build their own tool typically use an open-source library in a ...
nltk: This is the Natural Language Toolkit library used for working with human language data in Python. SentimentIntensityAnalyzer: This is a specific tool from NLTK used for determining the sentiment of a piece of text. ssl: This module provides access to Transport Layer Security (encryption) ...
First, you'll use Tweepy, an easy-to-use Python library for getting tweets mentioning #NFTs using the Twitter API. Then, you will use a sentiment analysis model from the 🤗Hub to analyze these tweets. Finally, you will create some visualizations to explore the results and f...