Skip to content

Cleaning metadata #1

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
nnahumVeritone wants to merge 2 commits into
base: master
Choose a base branch
from
Open

Cleaning metadata #1

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
eb994d9
removing words and sentences from output of Analysis
Oct 28, 2015
b07ece1
removing commented out line
Oct 28, 2015
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 0 additions & 2 deletions model.go
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -85,7 +85,5 @@ type SentenceScore struct {
// code
type Analysis struct {
Language Language `json:"lang"`
Words []Score `json:"words"`
Sentences []SentenceScore `json:"sentences,omitempty"`
Score uint8 `json:"score"`
}
22 changes: 11 additions & 11 deletions sentiment.go
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -18,18 +18,18 @@ func (m Models) SentimentAnalysis(sentence string, lang Language) *Analysis {

analysis := &Analysis{
Language: lang,
Words: []Score{},
Score: uint8(0),
}

sentences := strings.FieldsFunc(sentence, SplitSentences)
mySentences := []SentenceScore{}
myWords := []Score{}
if len(sentences) > 1 {
analysis.Sentences = []SentenceScore{}

for _, s := range sentences {
class, P := m[lang].Probability(s)

analysis.Sentences = append(analysis.Sentences, SentenceScore{
mySentences = append(mySentences, SentenceScore{
Sentence: s,
Score: ScaleScores(class, P, lang),
Probability: P,
Expand All @@ -41,7 +41,7 @@ func (m Models) SentimentAnalysis(sentence string, lang Language) *Analysis {
for _, word := range w {
class, P := m[lang].Probability(word)

analysis.Words = append(analysis.Words, Score{
myWords = append(myWords, Score{
Word: word,
Score: ScaleScores(class, P, lang),
Probability: P,
Expand All @@ -52,18 +52,18 @@ func (m Models) SentimentAnalysis(sentence string, lang Language) *Analysis {
if class, P := m[lang].Probability(sentence); !math.IsNaN(P) {
fmt.Printf("Sentence: %v\tClass > Probability: %v > %v\n", sentence, int(class), P)
analysis.Score = ScaleScores(class, P, lang)
} else if len(analysis.Sentences) != 0 {
} else if len(mySentences) != 0 {
sum := float64(0)
for i := range analysis.Sentences {
sum += float64(analysis.Sentences[i].Score)
for i := range mySentences {
sum += float64(mySentences[i].Score)
}
analysis.Score = uint8(math.Floor(sum / float64(len(analysis.Sentences))))
analysis.Score = uint8(math.Floor(sum / float64(len(mySentences))))
} else {
sum := float64(0)
for i := range analysis.Words {
sum += float64(analysis.Words[i].Score)
for i := range myWords {
sum += float64(myWords[i].Score)
}
analysis.Score = uint8(math.Floor(sum / float64(len(analysis.Sentences))))
analysis.Score = uint8(math.Floor(sum / float64(len(mySentences))))
}

return analysis
Expand Down