
Research
Security News
The Growing Risk of Malicious Browser Extensions
Socket researchers uncover how browser extensions in trusted stores are used to hijack sessions, redirect traffic, and manipulate user behavior.
Research project on twitter sentiment analysis using the Naïve Bayes Classificator.
Install from PyPI (soon) or github with::
pip install -e git+https://github.com:passy/twentiment.git
First, start the twentiment server that loads the data from a JSON file. A
sample is available in the repository <https://github.com/passy/twentiment/blob/623f4064469850b40b50db4707f12a07047f022b/samples/few_tweets.json>
_.
::
twentiment_server samples/few_tweets.json
After that, you can use twentiment_client
to query the server using the
syntax GUESS my tweet to be scored
.
::
twentiment> GUESS hello world
OK 0.0
twentiment> GUESS This car is amazing.
OK 0.5
twentiment> GUESS My best friend is great.
OK 0.9285714285714286
twentiment> GUESS Whatever.
OK 0.0
twentiment> GUESS This car is horrible.
OK -0.5
twentiment> GUESS I am not looking forward to my appointment tomorrow.
OK -0.9852941176470597
(Ranked by importance)
* Have a web-frontend that searches for tweets and rates their sentiment.
* Give the server an option to fork the server process into the background
and launch a shell like twentiment_client right away.
* Restructure the Classifier to allow adaptive retraining, i.e. provide a
TRAIN command that adds new samples at runtime.
* At the moment, most of the calculations are done at start-up time, so
querying is rather cheap. Could be difficult to find a good balance.
* Persistence of the server state. Maybe through redis? Only important with
TRAIN functionality.
* Add some sort of parallelism to the server, so querying doesn't block.
* Add a way of importing live training data from twitter (like from
analysing emoticons)
This is a project report for the Business Intelligence course. To increase the
learning potential, I tried to reuse as little as possible from the excellent
NLTK <http://nltk.org/>
_ project and reimplemented the relevant parts myself.
FAQs
Twitter sentiment analysis tool
We found that twentiment demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Security News
Socket researchers uncover how browser extensions in trusted stores are used to hijack sessions, redirect traffic, and manipulate user behavior.
Research
Security News
An in-depth analysis of credential stealers, crypto drainers, cryptojackers, and clipboard hijackers abusing open source package registries to compromise Web3 development environments.
Security News
pnpm 10.12.1 introduces a global virtual store for faster installs and new options for managing dependencies with version catalogs.