Sentiment Analysis using Microsoft Azure Machine Learning and PythonRohan SinghPankaj SharmaIJERT-International Journal of Engineering Research & Technology
Scores for Positive, Neutral, Negative, and Compound sentiments. Clean, responsive UI built with HTML, CSS, and Bootstrap. Backend processing using Flask and NLTK. Technologies Used Frontend HTML CSS (with Bootstrap for responsive design) Backend Flask (Python) VADER Sentiment Analysis from the NL...
Tweetfeels relies on VADER sentiment analysis to provide sentiment scores to user-defined topics. It does this by utilizing Twitter's streaming API to listen to real-time tweets around a particular topic. Some possible applications for this include: Calculating the social sentiment of particular poli...
Delta Lake is an open-source project built for data ‘lakehouses’ with compute engines, including Apache Spark, Trino, PrestoDB, Flink, and Hive, and with APIs for Scala, Java, Rust, Ruby, and Python. Delta Lake is an ACID table storage layer over cloud object stores like S3...
Second, state-of-the-art learning methods with a sufficiently large training set for a specific corpus will outperform dictionary-based methods on the same corpus [16]. However, in practice the domains and topics to which sentiment analysis are applied are highly varied, such that training to ...
We’ll be usingPython2.7 for these examples. Ideally, you should have an IDE to write this code in. I will be usingPyCharm - Community Edition. To connect to Twitter’s API, we will be using a Python library calledTweepy, which we’ll install in a bit. ...
SQLite is well integrated with Python. Moreover, itâs just a library and does not require a server, so the files are self-contained and can be exchanged between different team members easily. For more power and safety, we recommend a server-based SQL database. We use pd.to_...
A web mining module for the Python programming language, version 2.6 [18]. SentiWordNet: WordNet synsets each assigned three sentiment scores: positivity, negativity, and objectivity [19]. AFINN: Words manually rated −5 to 5 with impact scores by Finn Nielsen [20]. ...
Table 1Part-of-Speech tags for verbs Full size table Each sentence was then tagged using the POS tagger. Given the enormous amount of sentences, a Python program that is able to run in parallel was written in order to improve the speed of tagging. As a result, there are over 25 million...
$ cd flask-sentiment-analysis-api $ python -m venv .venv $ source .venv/bin/activate $ python -m pip install -U pip setuptools wheel $ python -m pip install -r requirements.txt For reticulated content, set the RETICULATE_PYTHON environment variable to point to your virtual environment, by...