Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.
![Screenshot 2023-12-18 at 10 40 27 PM](https://private-user-images.githubusercontent.com/3837836/291468646-4c30ad72-76ee-4939-a5fb-16b570d38cf2.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.0jODJf3b7_w4x8zSmCU7_p0brZRaW2_NXFr67KGo7PU)
end_date | pollster | n | population | pid_weighted | keep | remove | |
---|---|---|---|---|---|---|---|
2021-09-13 | survey monkey | 3985 | LV | 1 | 0.55 | 0.41 | |
2021-09-13 | trafalgar | 1082 | LV | 0 | 0.53 | 0.45 | |
2021-09-11 | emerson | 1000 | LV | 1 | 0.6 | 0.4 | |
2021-09-10 | data for progress | 2464 | LV | 1 | 0.57 | 0.43 | |
2021-09-08 | surveyusa | 930 | LV | 0 | 0.54 | 0.41 | |
2021-09-07 | suffolk | 500 | LV | 0 | 0.58 | 0.41 | |
2021-09-06 | uc berkeley | 6550 | LV | 0 | 0.6 | 0.39 | |
2021-09-04 | trafalgar | 1079 | LV | 0 | 0.53 | 0.43 | |
2021-09-01 | yougov | 1955 | LV | 1 | 0.56 | 0.44 |
Code is clean if it can be understood easily – by everyone on the team. Clean code can be read and enhanced by a developer other than its original author. With understandability comes readability, changeability, extensibility and maintainability.
Hello guys! I am going to walk you through my implementation of Sentiwordnet 3.0 on movie reviws to find the overall sentiment of ech review. I have mentioned the datasets and more about Sentiwordnet below. I will be using python 2.7 for coding. Also a few of its libraries like pandas, sklearn and nltk. NLTK has inbuilt modules for Sentiwordnet and Pos Tagger which will also be used in our code. So let's get started !
SentiWordNet is a lexical resource for opinion mining. SentiWordNet assigns to each synset of WordNet three sentiment scores: positivity, negativity, objectivity. Each of the three scores ranges in the interval [0.0 ; 1.0], and their sum is 1.0 for each synset.
Sentiwordnet was designed by ranking subjectivity of all terms or synsets according to the part of speech the term belongs to. The parts of speech represented by the sentiwordnet are adjective, noun, adverb and verb which are represented respectively as 'a', 'n', 'r', 'v'. the database has five col
A personal diary of DataFrame munging over the years.
Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)