Sentiment Analyzer

Author: Kaleb Neace

Description

This project scraps the comments from a given website and analyzes the sentiment to determine if the comments are positive, negative, or neutral. The comments are then saved within a text file with the proper sentiment. Lastly the program makes a graph to help visualize the data from the comments.

Setup - Installing required packages

• Create a new conda environment for your project:

• - conda create env --*env name* python=3.12
  - conda activate *env name*
  

• Install Hugging Face CLI:

  pip install huggingface-hub>=0.17.1
  

• Login to Hugging Face:

  huggingface-cli login
  

• Download the GGUF model:

  huggingface-cli download microsoft/Phi-3-mini-4k-instruct-gguf Phi-3-mini-4k-instruct-q4.gguf --local-dir . --local-dir-use-symlinks False
  

• Install llama-cpp-python:

  $env:CMAKE_GENERATOR = "MinGW Makefiles"
  $env:CMAKE_ARGS = "-DGGML_OPENBLAS=on -DCMAKE_C_COMPILER=*file path for gcc*-DCMAKE_CXX_COMPILER=*file path for g++*"
  pip install llama-cpp-python
  

• Install Web scrapping packages

  pip install beautifulsoup4
  pip install requests
  

• Install matplotlib

  pip install matplotlib.pyplot
  
  

• Install pytest

  pip install pytest
  

Instructions

• Paste the desired link within the Links.txt file
• Run the program in the terminal with

  python FinalProject.py

• View the results in the created .txt files and with the created graph

Example of graph