Rachit Singh
Anvi Staff answered 3 years ago
Sentiment analysis is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.
Sentiment analysis – otherwise known as opinion mining – is a much bandied about but often misunderstood term. In essence, it is the process of determining the emotional tone behind a series of words, used to gain an understanding of the the attitudes, opinions and emotions expressed within an online mention.
For beginners interested in sentiment analysis, there are several user-friendly tools available that require minimal technical expertise. Here are a few suitable options:
MonkeyLearn: MonkeyLearn offers user-friendly sentiment analysis tools with pre-built models and customizable features. It provides both text analysis and sentiment analysis capabilities. Website: https://monkeylearn.com/
TextBlob: TextBlob is a Python library that simplifies text processing tasks, including sentiment analysis. It’s easy to use and suitable for beginners with its straightforward API. Website: https://textblob.readthedocs.io/
IBM Watson Natural Language Understanding: IBM Watson NLU offers sentiment analysis among its many natural language processing features. It’s beginner-friendly with comprehensive documentation and easy-to-use APIs. Website: https://www.ibm.com/cloud/watson-natural-language-understanding
Google Cloud Natural Language API: Google Cloud NLP API provides sentiment analysis capabilities with pre-trained models. It offers easy integration with Google Cloud services and has extensive documentation for beginners. Website: https://cloud.google.com/natural-language
VADER (Valence Aware Dictionary and sEntiment Reasoner): VADER is a Python library specifically designed for sentiment analysis of social media texts. It’s easy to use and suitable for beginners due to its simplicity. Website: https://github.com/cjhutto/vaderSentiment
Stanford CoreNLP: Stanford CoreNLP is a natural language processing toolkit that includes sentiment analysis capabilities. It’s suitable for beginners with its comprehensive documentation and easy-to-use APIs. Website: https://stanfordnlp.github.io/CoreNLP/
Tweepy: Tweepy is a Python library for accessing the Twitter API, which can be used for sentiment analysis on Twitter data. It’s beginner-friendly and provides straightforward methods for collecting and analyzing tweets. Website: https://www.tweepy.org/
These tools offer intuitive interfaces, documentation, and support to help beginners get started with sentiment analysis quickly and effectively. Users can experiment with different tools to find the one that best suits their needs and preferences.