This post details how to perform Twitter sentiment analysis using Python, Docker, Elasticsearch, and Kibana.
But with the right tools and Python, you can use sentiment analysis to better understand the sentiment of a piece of writing.Why would you want to do that? There are a lot of uses for sentiment analysis, such as understanding how stock traders feel about a particular company by using ...
This paper provides analytical information about people's perceptions of coronavirus (tweets were collected from March 2020 to December 2021). With those tweets, sentiment analysis was performed using the TextBlob text processing python module to acquire the people's subjective data (opinions and ...
The Tweeter_handler uses Tweepy, an open-source Python library to get tweets mentioning using the Twitter API. Then we will use the Inference API for doing sentiment analysis. Sentiment analysis, a subset within NLP, utilizes machine learning techniques to identify and extract insights. The NLP_h...
TextBlob: Simplified Text Processing Homepage:https://textblob.readthedocs.io/ 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,...
6.5.3 Conventional and fuzzy sentiment analysis Conventional sentiment analysis was carried out on the same dataset. The overall trend of the tweets was classified as positive, since the tool such as the TextBlob Python package considered neutral and positive tweets as positive sentiment. Similarly, ...
Our implementation is analogous to those found in common Python natural language processing packages (see ‘NLTK’ or ‘TextBlob’ in [44]). As we should expect, at the level of single review, NB outperforms the dictionary-based methods with a classification accuracy of 72.4-76.1% averaged ...
pythonnlptwittertweetssentiment-analysissentimentpython3tweepytwitter-sentiment-analysistextblob UpdatedFeb 28, 2023 Python P7h/Spark-MLlib-Twitter-Sentiment-Analysis Star139 Code Issues Pull requests 🌟 ✨ Analyze and visualize Twitter Sentiment on a world map using Spark MLlib ...
2.4. Sentiment analysis The experiment was carried out with open source Python, which is an interpreted, object-oriented, and high-level programming language that provides rich libraries. In this research work, we have used NLTK for NLP, Pandas for Data analytics, Textblob for text processing, ...
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